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## [v1.8.5](https://github.com/DS4SD/docling/releases/tag/v1.8.5) - 2024-08-30
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### Fix
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* Add unit tests ([#51](https://github.com/DS4SD/docling/issues/51)) ([`48f4d1b`](https://github.com/DS4SD/docling/commit/48f4d1ba5288b54d96740a1132b0d7977bef01cf))
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## [v1.8.4](https://github.com/DS4SD/docling/releases/tag/v1.8.4) - 2024-08-30
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### Fix
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- Michele Dolfi - [@dolfim-ibm](https://github.com/dolfim-ibm)
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- Maxim Lysak - [@maxmnemonic](https://github.com/maxmnemonic)
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- Nikos Livathinos - [@nikos-livathinos](https://github.com/nikos-livathinos)
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- Ahmed Nassar [@nassarofficial](https://github.com/nassarofficial)
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- Ahmed Nassar - [@nassarofficial](https://github.com/nassarofficial)
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- Panos Vagenas - [@vagenas](https://github.com/vagenas)
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- Peter Staar - [@PeterStaar-IBM](https://github.com/PeterStaar-IBM)
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Maintainers can be contacted at [deepsearch-core@zurich.ibm.com](mailto:deepsearch-core@zurich.ibm.com).
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* 📝 Extracts metadata from the document, such as title, authors, references and language
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* 🔍 Optionally applies OCR (use with scanned PDFs)
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Doing RAG or Q/A? Also consider [Quackling](https://github.com/DS4SD/quackling) to get the most out of your documents.
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## Installation
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To use Docling, simply install `docling` from your package manager, e.g. pip:
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[tool.poetry]
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name = "docling"
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version = "1.8.4" # DO NOT EDIT, updated automatically
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version = "1.8.5" # DO NOT EDIT, updated automatically
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description = "Docling PDF conversion package"
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authors = ["Christoph Auer <cau@zurich.ibm.com>", "Michele Dolfi <dol@zurich.ibm.com>", "Maxim Lysak <mly@zurich.ibm.com>", "Nikos Livathinos <nli@zurich.ibm.com>", "Ahmed Nassar <ahn@zurich.ibm.com>", "Peter Staar <taa@zurich.ibm.com>"]
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license = "MIT"
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