@ -54,19 +55,32 @@ Crawling is automatic, no schedule is needed since the crawler monitors fs event
**Notice**: Ambar requires Docker to run, it can't run w/o Docker
**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 **$50**.
Just follow the [installation instruction](https://ambar.cloud/docs/installation/)
* Installation instruction for prebuilt images can be found [here](https://ambar.cloud/docs/installation/)
*Docker images can be found on [Docker Hub](https://hub.docker.com/u/ambar/)*
* Tutorial on how to build images from scratch will be available soon
If you want to see how Ambar works w/o installing it, try our [live demo](https://app.ambar.cloud/). No signup required.
## Monitoring with [SLAO.IO](https://slao.io)
Ambar 2.1.19 includes a native monitoring for its rest APIs. Check out the [installation instruction](https://ambar.cloud/docs/installation/) for more details.
## Support
Ambar is fully open-source and free to use, however you can get dedicated support from our team for a fee:
- Install & Configure Ambar on your machine - 999$
- Mount external data source - 99$
- Add automatic tagging rule - 299$
- Add password protection to Ambar UI - 299$
- Add custom file extractor - 599$
- Dedicated support - 199$/hour
- Custom features development - 299$/hour
## FAQ
## FAQ
### Is it open-source?
### Is it open-source?
Yes, it's fully open-source.
Yes, it's fully open-source now.
### Is it free?
### Is it free?
Yes, it is forever free and open-source.
Yes, it is forever free.
### Does it perform OCR?
### 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
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