Open-Source

​

🎉 Initial Release

• Data Extraction: Extract structured data from PDF documents based on custom schema definitions.
• Schema Support: Easily define schemas to tailor your extraction process for specific document types.
• Accurate Parsing: Handles nested data structures and complex formatting.
• Simple Setup: Start processing documents immediately.

​

Removed Supabase dependency

​

Schema Templates

​

Local LLM Models

• Local model options are Llava and Llama3.2-vision
• Simply add BASE_URL in environment variables to use

​

Autoschema and Ingestion formats

• No need to specify schemas, just set autoSchema to true and Documind will automatically generate a suitable schema and apply it.
• We’ve included functions to simple convert your documents to formats suitable for LLMs. Currently only text and markdown formats are supported.

​

New file and schema field types

• Support for DOC, TXT, PNG, JPG and HTML file types
• Schemas fields now include boolean and enum

​

Release of v1.1.0

• Flexible Arrays: If you’re extracting a list of single-type data, results are now returned as a simple array instead of unnecessary object wrapping.
• Markdown in Results: Now you also get the document’s markdown alongside extracted data.
• Full Ollama integration: No more needing an OpenAI key when using the local Ollama model—just provide the base URL, and you’re good to go.
• Google Gemini Models: More options! You can now use Documind with Google’s Gemini models.
• Autoschema Upgrade: Just tell Documind what to extract in plain English, and it will generate the schema for you automatically.