geometrybase / ambar

:mag: Ambar: Document Search Engine

Home Page:https://ambar.cloud/

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🔍 Ambar: Document Search Engine

Ambar Search

Ambar is an open-source document search engine with automated crawling, OCR, tagging and instant full-text search.

Ambar defines a new way to implement a full-text document search into yor workflow:

  • Easily deploy Ambar with a single docker-compose file
  • Perform a Google-like search through your documents and images contents
  • Ambar supports all popular document formats, performs OCR if needed
  • Tag your documents
  • Use a simple REST Api to integrate Ambar into your workflow

Features

Search

Tutorial: Mastering Ambar Search Queries

  • Fuzzy Search (John~3)
  • Phrase Search ("John Smith")
  • Search By Author (author:John)
  • Search By File Path (filename:*.txt)
  • Search By Date (when: yesterday, today, lastweek, etc)
  • Search By Size (size>1M)
  • Search By Tags (tags:ocr)
  • Search As You Type
  • Supported language analyzers: English ambar_en, Russian ambar_ru, German ambar_de, Italian ambar_it, Polish ambar_pl, Chinese ambar_cn, CJK ambar_cjk

Crawling

Ambar 2.0 only supports local fs crawling, if you need to crawl an SMB share of an FTP location - just mount it using standard linux tools. Crawling is automatic, no schedule is needed since the crawler monitors fs events and automatically processes new files.

Content Extraction

  • Ambar supports large files (>30MB)
  • ZIP archives
  • Mail archives (PST)
  • MS Office documents (Word, Excel, Powerpoint, Visio, Publisher)
  • OCR over images
  • Email messages with attachments
  • Adobe PDF (with OCR)
  • OCR languages: Eng, Rus, Ita, Deu, Fra, Spa, Pl, Nld
  • OpenOffice documents
  • RTF, Plaintext
  • HTML / XHTML
  • Multithread processing

Installation

Notice: Ambar requires Docker to run, it can't run w/o Docker

You can build Docker images by yourself or buy prebuilt Docker images for $50 here.

  • Installation instruction for prebuilt images can be found here
  • Tutorial on how to build images from scratch will be available soon

If you want to see how Ambar works w/o installing it, try our live demo. No signup required.

FAQ

Is it open-source?

Yes, it's fully open-source.

Is it free?

Yes, it is forever free and open-source.

Does it perform OCR?

Yes, it performs OCR on images (jpg, tiff, bmp, etc) and PDF's. OCR is perfomed by well-known open-source library Tesseract. We tuned it to achieve best perfomance and quality on scanned documents. You can easily find all files on which OCR was perfomed with tags:ocr query

Which languages are supported for OCR?

Supported languages: Eng, Rus, Ita, Deu, Fra, Spa, Pl, Nld. If you miss your language please contact us on hello@ambar.cloud.

Does it support tagging?

Yes!

What about searching in PDF?

Yes, it can search through any PDF, even badly encoded or with scans inside. We did our best to make search over any kind of pdf document smooth.

What is the maximum file size it can handle?

It's limited by amount of RAM on your machine, typically it's 500MB. It's an awesome result, as typical document managment systems offer 30MB maximum file size to be processed.

I have a problem what should I do?

Request a dedicated support session by mailing us on hello@ambar.cloud

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License

MIT License

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:mag: Ambar: Document Search Engine

https://ambar.cloud/

License:MIT License


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