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Copy file name to clipboardExpand all lines: README.md
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<ahref="https://discord.gg/ZyTzj6qE">
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<ahref="https://discord.gg/w2Ejj36hRU">
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<imgsrc="https://user-images.githubusercontent.com/31022056/158916278-4504b838-7ecb-4ab9-a900-7dc002aade78.png"alt="Join us on Discord"width="200px">
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# Documind
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**`Documind`** is an advanced document processing tool that leverages AI to extract structured data from PDFs. It is built to handle PDF conversions, extract relevant information, and format results as specified by customizable schemas.
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This repo was built on top of Zerox - https://github.com/getomni-ai/zerox. The MIT license from Zerox is included in the core folder and is also mentioned in the root license file.
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## **Features**
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- Extracts structured JSON output from unstructured documents.
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- Works with OpenAI and custom LLM setups (Llava and Llama3.2-vision).
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- Auto-generates schemas based on document content.
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### Roadmap
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### Try the Hosted Version 🚀
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Checkout planned features and improvements on the [roadmap](https://github.com/DocumindHQ/documind/discussions).
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The hosted version provides a seamless experience with fully managed APIs, so you can skip the setup and start extracting data right away. [Join the beta](https://documind.xyz/signup) to get access to the hosted service.
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### Try the Hosted Version 🚀
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In the meantime, you can explore the playground [here](https://www.documind.xyz/playground). Upload your documents and extract structured data with your own custom schema, or use one of the sample documents and template schemas.
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A demo of the **documind** hosted version will be available soon for you to try out! The hosted version provides a seamless experience with fully managed APIs, so you can skip the setup and start extracting data right away.
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### Roadmap
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For full access to the hosted service, please [request access](https://documind.xyz/signup) and we’ll get you set up.
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Checkout planned features and improvements on the [roadmap](https://github.com/DocumindHQ/documind/discussions).
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## **Requirements**
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This project is licensed under the AGPL v3.0 License.
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## **Credit**
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This repo was built on top of [Zerox](https://github.com/getomni-ai/zerox). The MIT license from Zerox is included in the core folder and is also mentioned in the root license file.
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