Contact person: Business Client

Phone:Show

Email:Show

Location: Canton, United States

Budget: Recommended by industry experts

Time to start: As soon as possible

Project description:
"I am building a platform that takes live or pre-recorded video and delivers a second-by-second translation overlay so viewers hear and/or read the content instantly in another language. The goal is seamless real-time interpretation—think keynote streams, online classes, or multi-lingual meetings—without noticeable lag.

Core needs
• A pipeline that accepts common video inputs (RTMP, WebRTC, MP4)
• Speech recognition, machine translation, and speech-synthesis modules chained together with latency consistently under two seconds
• Dynamic caption generation that can be burned into the video or delivered as a separate subtitle track
• Modular language models so new language pairs can be plugged in quickly; the initial pair will be decided together during discovery

Tech flexibility
I am open to whichever stack—Python, Node, Rust—best meets the latency target, but please be comfortable working with tools such as Whisper, DeepL, Google Cloud Speech-to-Text or equivalent, plus FFmpeg and media servers for routing.

Acceptance criteria
1. Live demo translating a sample video stream end-to-end in real time
2. Translation accuracy ≥ 85 % on a 10-minute test clip I provide
3. Clear deployment instructions (Docker or similar) and API documentation

If you have shipped low-latency audio/video or NLP products before, I would love to see them." (client-provided description)