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docs: update README to enhance OCR services section and improve clarity

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![Screenshot](./paperless-gpt-screenshot.png) ![Screenshot](./paperless-gpt-screenshot.png)
**paperless-gpt** seamlessly pairs with [paperless-ngx][paperless-ngx] to generate **AI-powered document titles** and **tags**, saving you hours of manual sorting. While other tools may offer AI chat features, **paperless-gpt** stands out by **supercharging OCR with LLMs**—ensuring high accuracy, even with tricky scans. If you’re craving next-level text extraction and effortless document organization, this is your solution. **paperless-gpt** seamlessly pairs with [paperless-ngx][paperless-ngx] to generate **AI-powered document titles** and **tags**, saving you hours of manual sorting. While other tools may offer AI chat features, **paperless-gpt** stands out by **supercharging OCR with LLMs**-ensuring high accuracy, even with tricky scans. If you’re craving next-level text extraction and effortless document organization, this is your solution.
https://github.com/user-attachments/assets/bd5d38b9-9309-40b9-93ca-918dfa4f3fd4 https://github.com/user-attachments/assets/bd5d38b9-9309-40b9-93ca-918dfa4f3fd4
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1. **LLM-Enhanced OCR** 1. **LLM-Enhanced OCR**
Harness Large Language Models (OpenAI or Ollama) for **better-than-traditional** OCR—turn messy or low-quality scans into context-aware, high-fidelity text. Harness Large Language Models (OpenAI or Ollama) for **better-than-traditional** OCR—turn messy or low-quality scans into context-aware, high-fidelity text.
2. **Automatic Title & Tag Generation** 2. **Use specialized AI OCR services**
- **LLM OCR**: Use OpenAI or Ollama to extract text from images.
- **Google Document AI**: Leverage Google's powerful Document AI for OCR tasks.
- **More to come**: Stay tuned for more OCR providers!
3. **Automatic Title & Tag Generation**
No more guesswork. Let the AI do the naming and categorizing. You can easily review suggestions and refine them if needed. No more guesswork. Let the AI do the naming and categorizing. You can easily review suggestions and refine them if needed.
3. **Supports DeepSeek reasoning models in Ollama** 4. **Supports DeepSeek reasoning models in Ollama**
Greatly enhance accuracy by using a reasoning model like `deepseek-r1:8b`. The perfect tradeoff between privacy and performance! Of course, if you got enough GPUs or NPUs, a bigger model will enhance the experience. Greatly enhance accuracy by using a reasoning model like `deepseek-r1:8b`. The perfect tradeoff between privacy and performance! Of course, if you got enough GPUs or NPUs, a bigger model will enhance the experience.
4. **Automatic Correspondent Generation**
5. **Automatic Correspondent Generation**
Automatically identify and generate correspondents from your documents, making it easier to track and organize your communications. Automatically identify and generate correspondents from your documents, making it easier to track and organize your communications.
5. **Extensive Customization** 6. **Extensive Customization**
- **Prompt Templates**: Tweak your AI prompts to reflect your domain, style, or preference. - **Prompt Templates**: Tweak your AI prompts to reflect your domain, style, or preference.
- **Tagging**: Decide how documents get tagged—manually, automatically, or via OCR-based flows. - **Tagging**: Decide how documents get tagged—manually, automatically, or via OCR-based flows.
6. **Simple Docker Deployment** 7. **Simple Docker Deployment**
A few environment variables, and you’re off! Compose it alongside paperless-ngx with minimal fuss. A few environment variables, and you’re off! Compose it alongside paperless-ngx with minimal fuss.
7. **Unified Web UI** 8. **Unified Web UI**
- **Manual Review**: Approve or tweak AI’s suggestions. - **Manual Review**: Approve or tweak AI’s suggestions.
- **Auto Processing**: Focus only on edge cases while the rest is sorted for you. - **Auto Processing**: Focus only on edge cases while the rest is sorted for you.
8. **Opt-In LLM-based OCR**
If you opt in, your images get read by a Vision LLM, pushing boundaries beyond standard OCR tools.
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## Table of Contents ## Table of Contents