Ffmpeg fedora jobs
...are in place. Technical notes Please choose the framework you are most productive with—native Swift/Kotlin, Flutter, React Native, or another cross-platform SDK are all acceptable as long as the UI looks consistent and the codebase can be maintained. H.264/H.265 decoding, RTSP/ONVIF compatibility, and HTTPS authentication will likely come into play, so experience with video streaming libraries (FFmpeg, WebRTC, or similar) is important. Deliverables 1. Source code with build instructions for both platforms 2. Signed builds ready for TestFlight and Google Play internal testing 3. Brief user guide and API/SDK documentation for future maintenance Acceptance criteria • Live video starts within two seconds on a standard Wi-Fi connection • Playback responds in...
...conditions * Motion blur handling * Non-standard Indian number plates 6. Offline operation (no cloud dependency) Technical Requirements:** * Strong experience in Computer Vision and Deep Learning * Hands-on experience with: * YOLO / SSD (object detection) * OCR models (CRNN, LPRNet, Tesseract improvements) * Experience with: * OpenCV * PyTorch / TensorFlow * RTSP stream handling (FFmpeg / GStreamer preferred) * Experience deploying models on: * Linux systems * Edge devices (Jetson preferred) --- **SDK Requirements:** * Deliverable must be a reusable SDK (not just an application) * Provide APIs in: * Python and/or C++ * Documentation for integration * Sample application for testing --- **Performance Expectations:** * Recognition latency: < 500 ms...
...custom training is involved) • Configuration templates Ideal Candidate Profile We're looking for someone with: Required Skills: • Strong experience with AI/ML video processing • Expertise in computer vision (OpenCV, MediaPipe, YOLO) • Knowledge of generative AI models for video (Stable Diffusion, ControlNet, AnimateDiff, or similar) • Proficiency in Python and video processing libraries (MoviePy, FFmpeg, PyTorch/TensorFlow) • Experience with style transfer or video-to-video translation • Experience with video compositing and background replacement techniques Preferred Skills: • Previous work with sports video analysis • Experience with 2D animation processing • Knowledge of football/soccer tactics (helpful for understand...
...VOB, IFO and BUP files—no single-file shortcuts. Menus, chapter navigation and subtitle streams must all work the same as on commercial releases. If you already possess software that performs this full conversion, I’d like the installer, a concise user guide and a proof-of-concept folder produced from one of my films. If a ready-made tool doesn’t exist, I’m open to a custom solution built with ffmpeg, dvdauthor, mkisofs or any comparable libraries; Windows is my main platform but cross-platform support is a must. The workflow should be simple: drop the MP4 in, receive a burn-ready folder out. Deliverables • Executable software with total indefinite usage rights, and full usage instructions • Pre-sets for both PAL and NTSC sources • S...
...HLS-based live streaming pipeline for public broadcasts Integrate video pipeline (FFmpeg / RTMP ingest → HLS output) Work with streaming servers/CDN (NGINX RTMP, AWS Media Services, or similar) Implement WebRTC (LiveKit) for private and VIP sessions Build real-time features using SignalR (chat, events) Design and implement: broadcast rooms (HLS) private sessions (WebRTC) Group sessions(WebRTC) Implement room access control & entitlement logic Optimize streaming latency and performance Work with PostgreSQL and Redis Ensure scalable backend architecture Required Skills Must Have: Strong experience in C# / ASP.NET Core Experience with HLS streaming (HTTP Live Streaming) Experience setting up: RTMP ingest + FFmpeg HLS segment generation (.m3u8, .ts) Knowledge of: NGI...
...ai, and I need it to look noticeably crisper without blowing up the file size. Better clarity—specifically sharper detail—is the single priority. Colour and additional touch-ups are optional; what matters is that the new file still loads quickly and plays smoothly on all modern browsers. You’ll start with the existing video, refine the sharpness (feel free to use tools such as Topaz Video AI, FFmpeg filters, or your preferred workflow), then re-encode so the final file stays roughly in the current size range while avoiding any stutter or artefacts. Deliverables • Optimised video file ready to upload to You Tube to replace the current background I’ll swap the file in, test speed on desktop and mobile, and release payment once I confirm it looks ...
...solution that lets me run AI-assisted Douyin (TikTok China) rebroadcasts and recorded streams while keeping viewers actively engaged. The AI layer should handle two core jobs for me: 1) pushing the video feed out in real time and 2) powering audience interaction features. What matters most on the streaming side is stability—no random drops, stalls, or audio-video desync. If you normally work with FFmpeg, RTMP, SRT or similar protocols and know how to fine-tune bit-rates and buffer settings, that is exactly the expertise I’m after. On the interaction side I need three functions running seamlessly during every broadcast: • real-time comment overlay • audience voting / polls that update instantly • integrated gift tipping so viewers can send reward...
...hide an impressive amount of power under the hood. Core editing power The app has to nail three capabilities from day one: • Advanced filters and effects • Precise cutting and trimming • Layer-based editing Each function should respond in real time, even on mid-range devices, so efficient rendering pipelines (Metal, OpenGL ES, or similar) and smart memory management are critical. FFmpeg or comparable libraries are welcome for codec handling, but final binaries must remain lightweight. Scope of work • Design and build native or cross-platform code that delivers identical toolsets on iOS and Android. • Implement an intuitive workspace with drag-and-drop layer stacking, keyframe timelines for video, and one-tap photo adjustments. &bull...
...recognition / LPR systems. -Cloud architecture, DevOps, and deployment pipelines. -QA and testing for real-time and AI-driven systems. Preferred Technical Stack Experience Experience with the following technologies will be highly valuable: or similar dashboard frameworks. , Python, or similar backend stacks. -OpenCV, TensorFlow, PyTorch, YOLO, FaceNet, DeepFace, EasyOCR, or OpenALPR. -FFmpeg, WebRTC, or GStreamer for video processing. -Docker, Kubernetes, CI/CD, and cloud deployment. -Secure authentication, RBAC, logging, and scalable system architecture. Who Should Apply: We are looking for freelancers who can contribute to a serious, real-world, production-grade platform. This project requires people who understand the complexity of camera systems, AI analytics, video proce...
...more) of today’s highest-margin AI verticals—automation with Zapier / Make and custom APIs, GPT-powered chatbots, auto-generated video, document OCR pipelines, or a lean SaaS MVP. You’ll help me pinpoint the best fit for my market, map the feature set, and then build a working prototype that’s ready to demo to early customers. Hands-on skill with tools such as OpenAI, LangChain, Zapier, Make, FFmpeg, and cloud hosting is essential. Show me examples where you took an idea from concept to a functional product that drives revenue or efficiency; live links or screen-shares are ideal proof. Deliverables will include: • A brief technical-and-market feasibility outline for the chosen vertical • A working prototype (web app, API, or bot) deploy...
I have a 40-minute source video that I need reduced to roughly 30–40 MB for smooth online streaming. The final file must be in MP4 format and remain watchable at 720p without obvious artefacts, stuttering, or audio issues. Please bring your preferred tools—HandBrake, FFmpeg, or any professional encoder—so long as the end result meets these targets: • Size: 30–40 MB • Resolution: 1280×720 • Format & codec: MP4 (H.264 or H.265), AAC audio • Playback: streams cleanly in a standard web player on desktop and mobile Send back the compressed video together with a short note of the settings you used so I can replicate the workflow in the future. If you need a brief clip to test first, let me know and I’ll provide it.
...on a clean Windows installation—no separate codec packs or external dependencies may be required from the user. We have chromium electron app wich refuses work with mp2 streams mp3 and aac is working fine. we can only get it working using local ffmpeg to transcode it back to mp4 container it takes alot of time. it should also able to play video codecs and usbtitles for multi sound and subtitles on videos in different formats stremaing format/mkv/mp4/avi etc Under the hood, you may bundle a WebAssembly build of a decoder, use a pre-compiled ffmpeg binary, or any other technique you prefer, as long as: • All decoding components ship inside the installer or portable folder. • The stream starts within two seconds of pressing Play. • No third-party ...
...is solid, you’ll wire it into a low-latency delivery stack built around HLS, RTMP and WebRTC (use whichever protocol best serves each device class; I’m open as long as the final viewer latency stays minimal). Key objectives • Decode the external API, authenticate if required, and transform responses into a format our player understands. • Stand up the core streaming infrastructure using FFmpeg and whichever media server you favour (Nginx-RTMP, Wowza, Ant Media, etc.) while keeping it cloud-agnostic. • Build a user system with registration, login and profile management, plus an admin panel where I can create events, upload VOD assets and trigger streams. • Deliver responsive playback pages that switch seamlessly between live and recorded ...
...chatbot config • Help chatbot — embedded support bot • Clip export — MP4, 9:16 TikTok, 16:9 YouTube --- REQUIRED TECH STACK Frontend: + React + Tailwind CSS Backend: Laravel, Django, or FastAPI (your choice) Database: Supabase (PostgreSQL + real-time) AI/GPU: Python + Hugging Face (VideoMAE, CLIP, Whisper) on RTX 3080 Queue: Redis + BullMQ (priority by tier) Storage: Cloudflare R2 Video: FFmpeg + YOLO + MediaPipe Payments: PayPal REST API Monitoring: Prometheus + Grafana --- WHO I'M LOOKING FOR • You have shipped at least one full SaaS product end-to-end • You are comfortable with GPU model deployment (Hugging Face, Docker) • You've worked with BullMQ or similar job queues • You write clean, maintainable code — not...
...and 60-second options. • Rendering engine: produces MP4s that combine live-action clips with text/graphic overlays, narrated in an informative and professional voice-over, and centred on product features. • Download page + simple history of a user’s past renders. Environment I will host the finished site on my Windows RDP server (200 GB storage, 16 GB RAM). Please confirm your tech stack—FFmpeg, Python, Node, .NET, or any other tools—will run reliably under that spec, and include clear deployment steps. I have Linux based shared hosting also, u can run in any 1. Deliverables 1. Working, browser-based product video generator installed on my server. 2. Source code and build/readme files. 3. A 15-second sample video for the link above, using...
...then save or overwrite the file. Alongside the trim/cut controls, I also want a lightweight audio-editing option so users can mute the original track or replace it with a new audio file before exporting. Key points you’ll handle • Build the editor as a self-contained module that I can drop into an existing Kotlin project (current minSdk 24). • Rely on popular, well-supported libraries such as FFmpeg, Mp4Parser, or Android’s MediaCodec/MediaMuxer—whatever keeps processing on-device and export times reasonable. • Provide a simple UI in Jetpack Compose (or XML if you prefer) that matches Material guidelines. • Return trimmed clips in the same resolution and frame rate without noticeable quality loss. • Supply clear integration notes and c...
...conditions. --- ## **Key Responsibilities** * Develop and maintain **video streaming pipelines** in C++ * Work with **FFmpeg** for encoding, decoding, and media processing * Integrate and optimize **video codecs (H.264 / HEVC)** * Implement and improve **real-time streaming over UDP (RTP/WebRTC/custom protocols)** * Handle **packet loss, jitter, and latency issues** * Optimize performance using **multithreading and efficient memory management** * Debug and fix issues in **real-time video/audio pipelines** * Collaborate with frontend/backend teams for end-to-end streaming solutions --- ## **Required Skills** * 2–5 years of experience in **C++ development** * Hands-on experience with **FFmpeg** * Basic understanding of **video codecs (H.264 / HEVC)** * Understanding of...
...Filters and effects—think color grading presets, glitch, VHS, slow-motion, quick-zoom, etc.—applied non-destructively so users can toggle them on or off. • Simple audio editing: trim or mute the original track, drop in royalty-free audio, adjust volume levels, and sync fun sound effects to specific frames. You’re free to recommend the best stack—whether that’s a web-based tool (React, WebAssembly, FFmpeg), a cross-platform desktop build (Electron, Qt, Flutter), or a native mobile solution—so long as the finished product runs smoothly on both Windows and macOS at minimum. If you have a clever way to keep CPU/GPU usage low while exporting to MP4 and MOV, even better. In your bid, highlight projects where you delivered comparable media-ed...
...or motion-graphic animation generated automatically. • A built-in text-to-speech engine (or an easy hook to one) so the voiceover is produced and timed correctly with each scene. • Simple controls for colour palette, logo placement and call-to-action slides; background music and text overlays are nice-to-have options I may add later. I’m open to whatever stack makes this reliable—Python, Node, FFmpeg, After Effects scripting, Stable Diffusion, Runway, Synthesia, or an all-in-one SaaS wrapper—as long as the end result is a repeatable process I can run without touching keyframes by hand. Deliverables 1. Source code or workflow files with clear installation notes. 2. One sample video generated from a script I supply, showcasing the voice-synced animatio...
I have a single MP4 clip, of 7min long, that was shot on a phone at 30 fps. The picture is fine, but the soundtrack plays back in what feels like slow motion—speech is drawn out, pitch is lower than normal, and the result is generally distorted. The actual length of the video is 3:50 if the sound was fine. I’ve already t...return: • The repaired audio as a high-quality WAV or AIFF • The original MP4 with the corrected audio muxed back in (same resolution and visual quality) Acceptance criteria are simple: playback in any standard player must sound natural, stay in sync from start to finish, and be free of the current distortion. If you typically work with tools such as Adobe Audition, iZotope RX, Reaper, or FFmpeg, let me know—whatever gets the jo...
...senior developer or agency to take over the manual engineering, security hardening, and final feature completion. Technical Stack Requirements: To work on this, you must be proficient in: Languages: Python (for AI/OCR scripts), JavaScript/TypeScript (React/Node.js), and potentially Java (for CCTNS compatibility). AI/OCR: Azure Cognitive Services (Document Intelligence), Google Vision API. Video: FFmpeg for thumbnail generation and stream seeking. Database: PostgreSQL or MongoDB with AES-256 field-level encryption. DevOps: Linux (Ubuntu/Debian), Docker, Nginx, and SSL/TLS configuration. Hi everyone, Thank you for your interest in our project. We are looking for an experienced Full-Stack Developer (or a small team) to finalize several critical modules for our specialized applicatio...
Give you past work link or demo I need an end-to-end, hands-off system that turns a single source video of me into a lifelike AI avatar, automatically generates well-edited Reels and Shorts every day, and publishes them to Instagram, Facebook, and YouTube without manual effo...handover documentation and a short Loom walkthrough. Acceptance criteria – System produces and publishes at least three test videos with no human intervention. – Videos meet platform quality guidelines and look professionally edited (clean cuts, dynamic text, royalty-free music). – All code and accounts remain in my ownership. Preferred tech is flexible—Synthesia, D-ID, Recut, CapCut API, ffmpeg, OpenAI, or any stack you’re comfortable with—as long as the final flo...
...save or overwrite the file. Alongside the trim/cut controls, I also want a lightweight audio-editing option so users can mute the original track or replace it with a new audio file before exporting. Key points you’ll handle • Build the editor as a self-contained module that I can drop into an existing Kotlin project (current minSdk 24). • Rely on popular, well-supported libraries such as FFmpeg, Mp4Parser, or Android’s MediaCodec/MediaMuxer—whatever keeps processing on-device and export times reasonable. • Provide a simple UI in Jetpack Compose (or XML if you prefer) that matches Material guidelines. • Return trimmed clips in the same resolution and frame rate without noticeable quality loss. • Supply clear integration note...
I need an end-to-end, hands-off system that turns a single source video of me into a lifelike AI avatar, automatically generates well-edited Reels and Shorts every day, and publishes them to Instagram, Facebook, and YouTube without manual effort. Core workflow • Clone my li...handover documentation and a short Loom walkthrough. Acceptance criteria – System produces and publishes at least three test videos with no human intervention. – Videos meet platform quality guidelines and look professionally edited (clean cuts, dynamic text, royalty-free music). – All code and accounts remain in my ownership. Preferred tech is flexible—Synthesia, D-ID, Recut, CapCut API, ffmpeg, OpenAI, or any stack you’re comfortable with—as long as the fina...
...registration to wiring up content-negotiation logic on the server and proving that the pipeline really returns lighter GIFs when a lower quality value is requested. We’re working exclusively with GIF images and our single optimisation goal is file size; colour accuracy or frame-rate tweaks aren’t required unless they help shrink the payload. You’re free to choose the tooling—ImageMagick, gifsicle, ffmpeg, or another library—as long as the end result is reproducible and well documented. Deliverables • Formal media-type registration draft (ready for IANA submission) • Source code or config that inspects the Accept header, interprets the q value, and serves the corresponding GIF variant • A small demo set: original vs. generated...
...save or overwrite the file. Alongside the trim/cut controls, I also want a lightweight audio-editing option so users can mute the original track or replace it with a new audio file before exporting. Key points you’ll handle • Build the editor as a self-contained module that I can drop into an existing Kotlin project (current minSdk 24). • Rely on popular, well-supported libraries such as FFmpeg, Mp4Parser, or Android’s MediaCodec/MediaMuxer—whatever keeps processing on-device and export times reasonable. • Provide a simple UI in Jetpack Compose (or XML if you prefer) that matches Material guidelines. • Return trimmed clips in the same resolution and frame rate without noticeable quality loss. • Supply clear integration note...
... with console output or screenshots as evidence. Acceptance criteria: 1. Running the script on a clean machine generates matching binaries for Android and Linux without manual tweaks. 2. Documentation is complete enough that another developer can follow it end-to-end. 3. The Android build launches on a physical device or emulator; the Linux build launches on a standard distro (Ubuntu, Fedora, etc.). If you can also ship a Windows .exe or .dll built with MSVC, add it as a separate artefact and note any extra steps—this is optional but will strengthen your delivery. Let me know which tools you intend to use and any clarifications you need before you start....
...My goal is a visibly sharper image, accurate colours and the cleanest possible picture once the resolution hits at least 1920 × 1080—if you can safely push it to 1440p or 4K without artefacts, even better. Audio must remain perfectly in sync and untouched. Feel free to reach for tools such as Topaz Video AI, DaVinci Resolve’s Super Scale, After Effects with detail-preserving upscale, or any FFmpeg workflows you trust; I’m happy as long as the final render is an MP4 (H.264 or H.265) that plays smoothly on desktop and mobile. Deliverable checklist: • Upscaled video in the agreed format, same duration, no watermark • A brief note on the settings or method you used, so I can reproduce the look later if needed Send a quick sample frame or...
...Stripe billing (subscriptions, credit ledger, webhooks, customer portal) Onboarding flow (multi-step wizard + cinematic reveal sequence) Review/approval system for rendered videos Notification system (real-time via Firestore) Email service (SendGrid, ~14 transactional templates) Referral system Cancellation + data retention flow Internal editor dashboard (can be vibe-coded) Audio swap service (FFmpeg) Every user-facing page: dashboard, listings, marketplace, calendar integration, review page, settings, billing Tech stack they need to know: React 19, TypeScript, React Router 7, React Query (TanStack), Zustand, Tailwind CSS 4, ShadCN/UI, Firebase Auth + Firestore, Node.js (Express or Fastify), Stripe, SendGrid, Zod, React Hook Form, FullCalendar React, Recharts. Timeline: 8 weeks...
I need a purpose-built FFmpeg plugin that adds reliable live-streaming capability: i need a plugin to send fingerprint to live streams, withouth re-encoding/transcoding or using cpu to get this working. i already have a python script wich is doing it, but it stils re-encoding the stream. i need to have a api /plugin for ffmpeg witch will always work even with copy copy streams. so there should be nothing encoded/transcoding/rencoded. there should be a new string added inside ff fmpeg binary to get action when we trigger it. Deliverables 1. Source code for the plugin written in C/C++ (or another FFmpeg-compatible language) and cleanly documented.
I need an end-to-end solution that can automatically detect marat... – swap the overlay logo. Deliverables 1. Fully working prototype deployed on a cloud VM or local server, ready for race-day use. 2. Source code with clear documentation and installation script. 3. Admin guide (PDF or short video) showing setup, operation, and troubleshooting. 4. One remote handover session for live Q&A. I’m open to your preferred stack—OpenCV, TensorFlow, PyTorch, FFmpeg, or a commercial vision API—so long as licensing fits an event production environment and the admin UI remains dead-simple. Please outline your proposed architecture, expected accuracy, and any hardware specs I should budget for when you bid. READY TO USE SYSTEM NEEDED FOR NON IT SKILLED PER...
...create a finished video and then publish it to my channel without further input from me. Here’s how I picture the sequence: - workflow should find out trending topics related to sports from internet - identifies top 5 topics and creates a video script • Pass those assets through an editing sub-workflow—transitions, subtitles, watermarking, music bed, colour tweaks, aspect-ratio changes—handled via FFmpeg, OpenAI, or any other processors you prefer, as long as everything stays inside n8n. • Apply dynamic metadata: title, description, tags and thumbnail generated or fetched from my data source. • Authenticate with the YouTube Data API and push the video live, setting visibility, playlist, age restrictions or scheduled publish date as variables...
I have two parallel batches of study material that need tidying up so my students and I can locate everything in seconds. First, a folder of PDF textbooks: your task is to open each...“Book-Name_Chapter-01” or similar) so everything lines up perfectly in my drive. Deliverables • A well-formatted document (or set of documents) containing only the textbook exercise questions, ordered by chapter • One merged MP4 per chapter, rendered without quality loss • All source and final files renamed to the agreed convention If you’re comfortable automating parts of this with Acrobat, Python, FFmpeg, or similar tools, you’ll finish quickly, but any reliable workflow works for me. Accurate extraction and clean, chapter-true organization are the ke...
...save or overwrite the file. Alongside the trim/cut controls, I also want a lightweight audio-editing option so users can mute the original track or replace it with a new audio file before exporting. Key points you’ll handle • Build the editor as a self-contained module that I can drop into an existing Kotlin project (current minSdk 24). • Rely on popular, well-supported libraries such as FFmpeg, Mp4Parser, or Android’s MediaCodec/MediaMuxer—whatever keeps processing on-device and export times reasonable. • Provide a simple UI in Jetpack Compose (or XML if you prefer) that matches Material guidelines. • Return trimmed clips in the same resolution and frame rate without noticeable quality loss. • Supply clear integration note...
...save or overwrite the file. Alongside the trim/cut controls, I also want a lightweight audio-editing option so users can mute the original track or replace it with a new audio file before exporting. Key points you’ll handle • Build the editor as a self-contained module that I can drop into an existing Kotlin project (current minSdk 24). • Rely on popular, well-supported libraries such as FFmpeg, Mp4Parser, or Android’s MediaCodec/MediaMuxer—whatever keeps processing on-device and export times reasonable. • Provide a simple UI in Jetpack Compose (or XML if you prefer) that matches Material guidelines. • Return trimmed clips in the same resolution and frame rate without noticeable quality loss. • Supply clear integration note...
...deducted based on video length and quality. ​Technical Requirements ​Backend: n8n for workflow orchestration. ​AI Stack: (serverless GPU) for Wan 2.1, Z-Image, and FlashVSR (upscaling). ​Frontend: WordPress or a React-based dashboard. ​Note: You must integrate a lightweight video editing SDK (like Creatomate, Shotstack, or a custom Canvas-based timeline) to handle the drag-and-drop UI and final FFmpeg rendering. ​Payments (Dual-Currency): * India: Razorpay integration supporting INR, UPI, and Domestic Debit/Credit cards. ​Global: Stripe integration supporting USD and International Credit Cards. ​Budget & Deliverables ​Budget: $2,500 (Fixed Price for MVP). ​Deliverable 1: Working AI orchestration (n8n + ). ​Deliverable 2: Dashboard with a functional drag-and-drop timeline and...
...where appropriate • Perform reliable color correction so every clip looks consistent across campaigns Input files will range from 15-second promos to 60-second spots, shot in 4K. Output should be delivered in both square (1080×1080) and vertical (1080×1920) MP4s optimized for Instagram, Facebook, and TikTok. I am open to your preferred stack—whether that’s leveraging libraries like OpenCV, FFmpeg, or deep-learning frameworks such as PyTorch/TensorFlow—so long as the workflow is fully automated after initial configuration. An intuitive dashboard or simple command-line interface is fine, provided detailed setup instructions and sample scripts are included. Deliverables 1. Working AI editing pipeline (source code + executable) 2. Style o...
I’m looking to have an AI-powered system set up that can turn user-supplied footage or imagery into polished, profes...or swap the on-screen text, choose voice gender or language, and adjust music levels before export. • At least two sample renders demonstrating the system’s quality in 1080p. • A short hand-off guide so I can replicate the process without you. I’m open to whichever modern tools make this smooth—whether that’s leveraging APIs from OpenAI, ElevenLabs, AWS Polly, a Runway or Pika pipeline, FFmpeg automations, or something equally effective—as long as the final videos look agency-grade and the whole setup runs on a typical desktop or cloud VM. If this sounds like something you can build and fine-tune quickly, let&r...
...password, password reset) that gates access to every editing tool • Fast, client-side preview while editing and server-side rendering for the final export • Cutting & trimming, drag-and-drop transitions, effects palette and colour wheels/curves all running smoothly in modern browsers • Responsive interface that works equally well on desktop and tablet Tech notes HTML5 video, WebAssembly/FFmpeg, React or comparable JS framework, and a lightweight backend (Node, Django, or similar) are acceptable; choose what you’re most efficient with as long as final exports render reliably and user uploads stay secure. Acceptance criteria 1. A deployed URL where I can create an account, edit a sample MP4, apply an effect and colour tweak, then download th...
...something Cloudflare is doing during ingest—and show me a reliable path to smooth playback in every browser. Here’s what I expect: • Analyse one of the problematic uploads directly from Cloudflare. • Identify the technical reason it breaks in less-forgiving players. • Deliver a clear fix (re-encode settings, manifest tweak, or player configuration). • If a re-encode is required, provide the FFmpeg or similar command line so I can repeat it at scale. • If switching to a different web player is the cleanest option, supply a drop-in sample (e.g., , , Shaka, or any player you trust) that streams the file smoothly across Chrome, Edge, Safari, and Firefox. I’ll consider the job complete once the same file plays without visible jump...
...hardware, OS, and what happened - Any error messages copied exactly - Screenshots or terminal output where relevant That's it. Install. Document. Report. Repeat. **What We're Looking For** We specifically need testers on hardware and operating systems underrepresented in our current testing: - Windows machines (any spec) - Mac with Apple Silicon (M1, M2, M3, M4) - Linux distros beyond Ubuntu (Fedora, Arch, Debian, Mint, PopOS, etc.) - Older or budget hardware — if it's not top of the line we want to know if it works **What Makes a Good Report** - Your exact hardware (CPU, GPU, RAM) - Your OS and version - What happened step by step - Any error messages copied exactly - Screenshots or terminal output where relevant - What you tried if anything before giving...
...several large video files that must be uploaded to a service with a hard 200 MB limit. To stay on the safe side I want every segment to land somewhere below 190 MB. Here’s exactly what I need: • Take each original video I send. • Slice it into sequentially numbered parts, each no larger than 190 MB. • Keep the existing resolution, codec, and visual quality unchanged. Feel free to use ffmpeg, HandBrake, or any other reliable tool—whatever lets you finish the job quickly without re-encoding artifacts. When you’re done, share the split files through a cloud link, making sure the naming clearly shows the order (e.g., filename_part01, part02, etc.). I’m looking for a quick turnaround—ASAP once you have the source videos. Ever...
I'm struggling to install a desktop application on Fedora. I need someone to guide me through the process, as it's becoming very frustrating. i'll also happily let someone do remote work through my laptop if that is possible, I'm not very good with tech so I may need help with setting that up as well. Ideal Skills and Experience: - Proficiency in Fedora and Linux in general - Experience with desktop application installations on Linux - Ability to explain steps clearly and patiently
...Generate images related to the script • Convert images into video clips • Add narration (VoiceVox or similar TTS) • Add subtitles and translations • Apply video transitions and effects • Generate thumbnails automatically • Upload the video to YouTube with title, description and tags Current situation There is an existing prototype built with: • HTML interface • Python scripts • BAT automation • FFmpeg video processing • VoiceVox narration However, the current system has many issues such as: • unstable pipeline execution • incorrect video length • translation and API cost inefficiencies • thumbnail mismatch • occasional BAT execution errors Because of these issues, the system may need partial reb...
...working C++ application that currently relies on hard-coded values; I now need that logic moved into a subroutine capable of reading the same data from an external file instead. Your job is to extend the existing subroutine so it accepts file input, integrates the data seamlessly into the program’s current flow, then compile and run the whole project on a free Red Hat Enterprise Linux environment (Fedora, CentOS Stream or any other RHEL-compatible distro is fine). You will receive: • The current source tree and a brief note on where the new functionality plugs in. • A sample data file that illustrates the expected format. What I expect back: • Updated source code with clear in-line comments that show where changes start and end. • A Makefile (o...
...200 videos per day. Example Video Content Example structure of the video: Intro screen "New company registered" Company information Company Name City / Canton Industry Closing screen "Source: Commercial Register Data" Target video length: 10–20 seconds Technical Requirements The solution should preferably use: Python or Node.js Possible tools / libraries: OpenAI API (text generation) FFmpeg or programmatic video generation YouTube Data API Text-to-speech engine (optional) The system must run automatically via script or scheduler. Important We are NOT looking for manual video editing. This must be a fully automated system. Deliverables Working script or application that: * processes input data * generates videos * uploads them to YouTu...
...streams at the same time Continuously record and archive every channel Real-time audio extraction + self-hosted fingerprint matching Detect the same song even if it plays multiple times Automatic timestamp marking (with 1–2 second buffer) Clean web dashboard showing: Channel name • Detection time • Song segment • Flagged video clip Easy way to add new stream URLs later Preferred Technical Approach FFmpeg for pulling and recording M3U8 streams Continuous audio extraction from live segments Open-source audio fingerprinting library (local database, Shazam-style matching) Logging: Channel + Timestamp + Segment duration Web dashboard (modern, simple, and responsive) POC Deliverables (First Phase) Integrate public JioTV repository and fetch working M3U8 stream ...
...best practices. • Schedule everything automatically, optimising send times for maximum reach. • Monitor comments, replies, and DMs in real time and answer common questions or escalate when a human touch is required—all while keeping our tone consistent. I’m comfortable if you build with Python plus OpenAI or similar LLMs for copy generation, Stable Diffusion or equivalent for imagery, and FFmpeg / lightweight editing libraries for video. Direct use of each platform’s official API (or a reliable third-party wrapper) is essential so posts and engagement actions remain compliant. Deliverables 1. Fully functioning agent with deployment scripts. 2. Simple web dashboard that lets me tweak prompts, approve/override content, and review engagement logs....
...optimal posting format Output: platform-specific content brief per product (hook, thumbnail directive, title formula, hashtags, post time) Module 4: Content Generation Engine Video script generator using Claude API (Sonnet for scripts/hooks, Haiku for captions/hashtags) Thumbnail image generator via Replicate (SDXL) based on platform brief Voiceover generation via ElevenLabs API Video assembly via FFmpeg: product images + voiceover + text overlays + background music Each video must be unique per platform — not the same video reposted Static content generator for Pinterest and Twitter (image + copy) Affiliate link embedded in all content per platform rules Module 5: Distribution Engine YouTube Data API v3: upload Shorts with title, description, tags, affiliate link in de...
