Textricator is a tool for extracting text from computer-generated PDFs and generating structured data (CSV or JSON). If you have a bunch of PDFs with the same format (or one big, consistently formatted PDF) and you want to extract the data to CSV or JSON, _Textricator_ can help! It can even work on OCR'ed documents!

It is developed by Measures for Justice and was announced at the Code for America Summit 2018. We welcome feedback! Create an issue or pull request on Github or email us. Please let us know if you are using Textricator, or if there is something preventing you from using it that we may be able to address.

Textricator is deployed to Maven Central. A tgz binary distribution is included in addition to binary, source, and documentation jars.

Source code, documentation, and examples are available on Github. The online demo can be found here.

Measures for Justice has used Textricator to collect thousands of pages of data. The tool doesn't require programming skills; instead a user describes the structure of the document using a yaml file. Textricator can extract data from PDFs in almost any layout--not just tables, but complex reports generated from tools like Crystal Reports. You tell Textricator attributes of the fields you want to collect it chomps through the document collecting them and writing out your records.

This is Textricator's mascot, Chompy: mascot