pdfQL is a query language built for PDFs that turns them into a source of reliable structured data.
PDFDATA makes using pdfQL easy, with a set of simple in-browser tools anyone can use, and a set of APIs for developers to automate workflows.
All paid plans include premium pdfQL authoring during this "early bird" phase. Let us write and maintain your pdfQL queries for you!
Here's an example pdfQL query that matches employer ID numbers as found in many U.S. tax forms, and the extracted data that it identifies and outputs, rendered (by default) as JSON:
AND
, OR
, and NOT
) to filter results with unlimited flexibilityStop using regular programming languages to build fragile "parsers" for badly-extracted PDF text that can't express even simple spatial relationships and style expectations.
pdfQL queries are declarative, and know everything about your source documents: on-page positions, font styles and sizes and colors, and spatial relationships between content and lines and boxes.
You get to name every data element in your pdfQL queries, and thus every data element produced by running them. Match those names to those used in your existing databases and systems for easy-peasy ingestion.
Flip one query flag, and you can receive extracted data in JSON or CSV to match whatever is easiest with your existing tools and skills.