JPG to JSON

How to convert JPG to JSON

1. Add a JPG. A photo, a scan, or a screenshot saved as JPEG.
2. Pick a shape. Plain text, a word list with coordinates, or inferred rows and columns.
3. Download the .json. Parses in any language with no special handling.

About JPG to JSON

This is the version for people who are going to write code against the result. Rather than a flat block of text, you get structured JSON — and the metadata a plain text export throws away: where on the image each word sat, and how confident the recogniser was about it.

Those two things are what make an OCR pipeline dependable rather than merely plausible. Confidence lets you route uncertain fields to a human instead of silently importing a wrong value. Bounding boxes let you find a field by where it is on the page rather than by matching text, which is how reliable invoice and form parsers actually work — the label moves, the position does not.

JPEG is the format most real-world inputs arrive in, because it is what phone cameras and scanning apps produce. It is also slightly hostile to recognition, since its compression softens the hard edges letterforms are built from. Expect somewhat lower confidence scores from a JPEG than from a PNG of the same content, and lean on those scores rather than assuming the text is right.

Everything runs through Tesseract compiled to WebAssembly in this browser tab. That matters more for a developer tool than it first appears: the documents people build OCR pipelines against are usually invoices, receipts, forms, and identity documents belonging to their customers. Prototyping against a free hosted API means sending someone else's data to a third party, often without having thought about it as a decision at all.

JPG to JSON FAQ