Technical assignment for the development of a service for automatic translation of YouTube videos from English to Russian using AI
1. General information
Goal: Development of a service that automatically downloads videos from YouTube, recognizes and translates speech from English to Russian, creating subtitles or voiceovers.
Main requirements: High processing speed, translation accuracy, process automation.
2. Functional requirements
2.1. Main functions
1. Video upload
• User input of the YouTube video link
• Ability to upload video files from PC
• Duration limit for videos (optional)
2. Speech recognition (Speech-to-Text)
• Automatic extraction of the audio track from the video
• Recognition of English speech using ASR models (e.g., OpenAI Whisper, Deepgram, Vosk)
• Splitting text into timestamps (timecode)
3. Translation (Machine Translation)
• Translation of text from English to Russian
• Use of neural network models (e.g., DeepL API, OpenAI GPT, Google Translate API)
• Preservation of timestamps during translation
4. Subtitle generation
• Formation of subtitle files (.srt, .vtt)
• Ability to edit the translation before final export
5. Voiceover of the translation (Text-to-Speech, TTS)
• Generation of voiceover for the translated text synchronized with the video
• Use of TTS engines (e.g., ElevenLabs, Microsoft Azure TTS, Google WaveNet)
• Adjustment of voice speed and intonation
6. Export of results
• Saving the translated video with the overlay voiceover
• Downloading subtitles separately (.srt, .vtt)
3. Non-functional requirements
3.1. Performance
• Processing a 10-minute video in no more than 5-10 minutes
• Speech recognition accuracy of at least 85-90%
• Translation correctness of at least 90% (when using neural network models)
3.2. Technology stack
• Backend: Python (FastAPI, Django)
• ASR: OpenAI Whisper / Deepgram / Vosk
• Machine Translation: OpenAI GPT-4 / DeepL API / Google Translate API
• TTS: ElevenLabs / Microsoft Azure TTS / Google WaveNet
• Video processing: FFmpeg
• Database: PostgreSQL / MongoDB
• Frontend: React / Vue.js
3.3. Integrations
• YouTube API (for video uploads)
• Cloud services for AI models (OpenAI, DeepL, Google Cloud)
4. Interface requirements
1. Ease of use – intuitive interface with minimal steps for the user.
2. Personal account – history of processed videos, ability to re-download.
3. Settings – choice of translation quality (basic / advanced), choice of voice for voiceover.
Expected result: A working service with high translation accuracy, fast processing, and a user-friendly interface.
Send your proposal with price, deadlines, and cases you have done in the AI niche in private messages immediately.
Do not send overpriced solutions.
