Open-Source

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🎉 Initial Release

The first public release of Documind. Here’s what’s included:

🚀 Features:

• 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.

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Removed Supabase dependency

Supabase dependency has been removed on the npm package. No need for external storage.

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Schema Templates

Schema templates are now available for you to use.

You can get started quickly with some common schemas and contribute new ones.

Read more about them here

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Local LLM Models

You can now set a custom base URL and use to use local models

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

More information here

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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.

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New file and schema field types

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

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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.