OCR performance improved

As requested by our users, our /OCR endpoint gets more support for various languages including Arabic, Modern Hebrew, Russian & simplified Chinese.

bounding box coordinates are now enabled by default. For each request, besides the full text output, you get a bbox array where each entry of this array hold the target word and its bounding box (i.e. rectangle) coordinates. Each entry in this array is identified by an instance of the following JSON object:

    word: Extracted word,
    x: X coordinate of the top left corner,
    y: Y coordinate of the top left corner,
    w: Width of the rectangle that englobe this word,
    h: Height of the rectangle that englobe this word

The documentation is updated and available to consult at https://pixlab.io/cmd?id=ocr and a Python sample is provided on Github at https://github.com/symisc/pixlab/blob/master/python/ocr.py.

With that in hand, you can further tune your analysis phase for example by extracting each word via /crop and perform another pass if desired.

PixLab Officially Launched

Dear folks,

We are pleased to announce the immediate availability of our machine learning SaaS platform to the public.

PixLab is set of unified Restful APIs for all your media analysis & processing tasks. It is shipped with over 130 commands (API endpoints) including:

  1. Face detection, recognition, emotion, generation, lookup, landmarks, etc.
  2. Content Moderation & Extraction: nsfw, sfw, urlcapture, header, ocr, tagimg.
  3. Pixel Generation/Image processing.
  4. The ability to train your own object detector.

With this in hand, you can achieve amazing transformation to your input images & videos including:

  1. Mimic Snapchat filters
  2. Content filtering
  3. Blurring/Cropping human faces.
  4. MEME Creation.

and finally here is some useful links to start playing with:

  1. The PixLab API in 5 minutes or less: https://pixlab.io/#/start
  2. API Reference Guide: https://pixlab.io/#/api
  3. List of Images Analysis & Processing Commands: https://pixlab.io/#/cmdls
  4. The PixLab Sample Set: https://pixlab.io/#/examples

We are a small bootstrapped startup mostly composed of engineers distributed around the globe. It took us 10 months of tedious work to ship the first stable version of PixLab so we really hope that you enjoy it and we look forward to hear back from you guys!