About LeapOCR

We built LeapOCR for teams that need OCR to hold up in production

LeapOCR exists for teams that are done with OCR that looks promising in a demo but falls apart when real documents hit the workflow. We focus on outputs that are usable, controllable, and ready for the next system.

Why we exist

The product is built around operational clarity: predictable outputs, selective escalation, and less cleanup between OCR and the next step.

01
Ingest the page

Send scans, PDFs, photos, receipts, forms, or logistics paperwork through one pipeline.

02
Pick the output contract

Return readable markdown or pure JSON from your schema, depending on where the page is going next.

03
Add more only when the document needs it

Use instructions, bbox, or pro-v2 selectively instead of pricing the entire queue like the hardest page in it.

Principles

The rules behind the product

LeapOCR is opinionated about where complexity should live. We keep as much of it inside the platform as possible so your team does not have to rebuild it in post-processing scripts, manual review loops, and exception handling.

01

Schema first

The output should already fit the next system in the workflow instead of creating another cleanup step after OCR.

02

Spend for complexity, not for everything

Base OCR handles the common path. Instructions, bbox, and heavier models only come in when the document actually earns the extra cost.

03

Readable and programmable

Some teams need markdown for review. Others need pure JSON from a schema. LeapOCR supports both without splitting the ingest flow.

04

Production over demos

We optimize for invoices, IDs, logistics paperwork, forms, and other real document queues that break brittle pipelines.