Added Ollama Support and post-processing tools #21
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- Add Ollama as an AI provider option for local/self-hosted vision models - Add Tesseract.js OCR as a free, local alternative for transcription - Add validation script to detect OCR errors (repetitions, excessive punctuation) - Add content cleaning script using Ollama text models for formatting improvements - Fix OTP submission issue with multiple selector fallbacks - Replace ky with native fetch for better Node.js compatibility with Ollama - Update README with comprehensive documentation for all new features - Add all required environment variables to .env.example
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Add Ollama support and content validation/cleaning tools
Summary
This PR adds support for local/self-hosted AI models via Ollama, provides a free OCR alternative with Tesseract.js, and includes tools for validating and cleaning transcribed content.
Key Features
🤖 Ollama Integration
📝 Tesseract.js OCR Support
✅ Content Validation & Cleaning
Bug Fixes
Configuration Changes
New environment variables:
AI_PROVIDER- Choose betweenopenaiorollamaOLLAMA_BASE_URL- Ollama server endpointOLLAMA_VISION_MODEL- Vision model for transcription (e.g., qwen2.5vl:7b)OLLAMA_MODEL- Text model for content cleaning (e.g., llama3.2)OLLAMA_CONCURRENCY- Parallel request limitOCR_CONCURRENCY- Tesseract.js worker count