Invoice OCR Software, Rebuilt for AI
Scan digital or paper invoices into structured Excel, CSV, or JSON. No templates, no capture zones, no per-vendor rules — describe what you need and the AI reads any layout.
What would you like to extract?
- No templates or zonal setup
- Scans and photos supported
- Files auto-delete within 24h
What you get: scanned paper in, structured data out
Your columns, described in the prompt. Anything the AI isn't confident about is flagged for review, never silently guessed.
| Invoice # | Date | Vendor | Net | Tax | Total | Source File | Review Needed |
|---|---|---|---|---|---|---|---|
| 8841 | 03/03/2026 | Lindqvist Timber AB | 2,140.00 | 535.00 | 2,675.00 | scan_batch_014.pdf | |
| 8842 | 04/03/2026 | Lindqvist Timber AB | 960.00 | 240.00 | 1,200.00 | scan_batch_014.pdf | |
| INV-2277 | 05/03/2026 | Meridian Supplies | 318.40 | 63.68 | 382.08 | [Page 2] scan_batch_014.pdf | |
| A-10441 | 07/03/2026 | Cordova Electrical | 1,875.00 | 375.00 | 2,250.00 | IMG_2214.jpg | |
| 7719 | 09/03/2026 | Westgate Plant Hire | 640.00 | 128.00 | 768.00 | fax_archive_112.pdf | Verify low-res scan |
| INV-2281 | 10/03/2026 | Meridian Supplies | 84.90 | 16.98 | 101.88 | [Page 4] scan_batch_014.pdf | |
| 2026-114 | 12/03/2026 | Bauer Logistik GmbH | 1,420.00 | 269.80 | 1,689.80 | german_scans.pdf | |
| 55210 | 14/03/2026 | Harbor Fuel Supply | 512.30 | 102.46 | 614.76 | IMG_2230.jpg | |
| INV-2290 | 17/03/2026 | Meridian Supplies | 228.00 | 45.60 | 273.60 | [Page 6] scan_batch_014.pdf | |
| 8850 | 19/03/2026 | Lindqvist Timber AB | 3,310.00 | 827.50 | 4,137.50 | scan_batch_015.pdf |
How AI invoice scanning works
1. Upload your invoices
Scanned paper, digital PDFs, or photos — up to 6,000 files per batch. Mixed vendors, layouts, quality, and languages are fine.
2. Describe your spreadsheet
Plain language instead of template configuration. Name your columns and row logic — that's the entire setup, for every vendor at once.
3. Download structured data
Excel, CSV, or JSON with a source-file reference on every row and Review Needed flags where a human should look. Import anywhere.
Where template-based OCR breaks, this doesn't
Legacy invoice OCR fails on the variety of real invoices — new vendors, layout changes, rough scans. Reading layout with AI instead of templates removes the failure mode.
No templates, zones, or vendor rules
The configuration burden that defines legacy invoice OCR simply isn't here. The AI reads each invoice's actual layout — a new vendor works on the first page.
Scans, photos, and digital PDFs
Clean digital invoices and rough scans process in the same batch. Genuinely unreadable values get Review Needed flags, never silent guesses.
Line items or header fields
One row per line item or one row per invoice — with exactly the columns you describe, ready for pivot tables, imports, or your ERP.
Global scripts and formats
Latin, Cyrillic, Arabic, Hebrew, and East Asian scripts; regional date, number, and tax formats read in context; mixed batches welcome.
Volume without configuration
Up to 6,000 files per batch, single PDFs up to 5,000 pages, processed in parallel — with a source-file reference on every row.
API and SDKs
The same extraction over a REST API with Python and Node.js SDKs returning structured JSON — for recurring workflows and product integrations.
AI-native extraction vs. template and zonal OCR
Invoice OCR has two structural approaches: template or zonal extraction, configured per invoice layout, and AI extraction that reads each document's own layout. If you're comparing tools, the difference to evaluate is what happens when an invoice doesn't match a configured template.
| Evaluation dimension | Template & zonal OCR | AI-native extraction |
|---|---|---|
| Setup before the first page | A template or capture zones, configured per invoice layout before extraction from that layout can begin. | None. You describe the columns you want in plain language; the prompt is the entire configuration. |
| A new vendor's invoice arrives | A new layout has no template yet; one must be configured before that invoice can be extracted. | Works on the first page — the AI reads the layout it's given, so new vendors need no setup. |
| A vendor redesigns their invoice | Capture zones are anchored to the old layout — a changed layout means reconfiguring the template. | Nothing is anchored to the old layout — the redesigned invoice is read like any other. |
| Scans and phone photos | Zonal capture reads fixed regions of the page image, at the positions the template defines. | Scanned PDFs and photos process alongside digital PDFs; genuinely unclear values are flagged, not guessed. |
| Line items | A table definition per layout, specifying where rows and columns sit on the page. | “One row per line item” in the prompt, with exactly the columns you name. |
| Uncertain values | Confidence is scored on character recognition — how surely the engine read each glyph. | Review Needed flags on any value the AI isn't confident about, with what to check and where. |
| Mixed batches and languages | One template per layout — a mixed stream needs as many templates as it has layouts. | Mixed vendors, formats, and languages in one batch — up to 6,000 files — under a single prompt. |
| Ongoing maintenance | A template library that grows with every new layout and needs reconfiguring when one changes. | Nothing to maintain — there are no templates to update. |
To be fair to the older approach: a single fixed layout that never changes is exactly the case template extraction is designed for — and fully offline processing is something a cloud service can't offer. A stream with more than one layout needs a template per layout; AI extraction reads the layout itself, so there is nothing to configure per layout.
Who scans invoices here
Bookkeepers & accounting firms
Scan every client's invoice pile without maintaining a template per vendor — the setup work that makes legacy OCR tools impractical at firm scale.
Accounts payable teams
Digitize supplier invoices for approval workflows and ERP import, including the scanned and emailed paper that traditional capture struggles with.
Developers & product teams
Add invoice scanning to your own workflow or product via the API — structured JSON out, no OCR model to build or train.
Priced per page, not per template
1 credit = 1 page. 50 pages free every month, then pay-as-you-go from $12 for 100 pages — no subscription, no setup fees, no per-vendor configuration cost. Over 1 million pages processed. Automate it with the REST API.
Invoice OCR software FAQ
What is invoice OCR software?+
Software that reads invoices — scanned paper, PDFs, or photos — and converts them into structured data like Excel rows instead of images of text. Traditional invoice OCR relied on templates and capture zones configured per vendor; modern AI-based OCR reads each invoice's actual layout, so a new vendor's invoice works on the first page with no setup.
How is this different from traditional OCR tools?+
There are no templates, capture zones, or per-vendor rules here at all. You describe the spreadsheet you want in plain language — the prompt is the entire configuration — and a purpose-built multi-model AI system reads each document's layout and context. Layout changes, new vendors, and mixed batches don't break anything, because nothing is hard-coded to a layout in the first place.
Does it handle scanned paper invoices and photos?+
Yes — native digital PDFs, scanned PDFs, and photos (JPG, PNG) all work, including low-quality scans. When image quality makes a value genuinely uncertain, that cell is flagged with a Review Needed warning rather than silently guessed.
Can it extract line items?+
Yes — line-item extraction is the most common job on the platform. One row per line item with the columns you name (description, quantity, unit price, tax, total), or one row per invoice for header-level data. Your prompt decides.
Which languages and scripts does it read?+
Global language coverage, including Latin, Cyrillic, Arabic, Hebrew, and East Asian scripts — and mixed-language batches process in one run. Regional number, date, and tax formats are read in context.
How accurate is it?+
Extraction runs on a purpose-built, multi-model AI pipeline that has processed over 2 million invoices. Low-confidence values are flagged with Review Needed warnings that explain what to check and where — so accuracy issues surface to you instead of hiding in a spreadsheet.
Can I try it free?+
Yes — every account includes 50 free pages per month with full functionality, no credit card required. After that it's pay-as-you-go from $12 for 100 pages, with no subscription.
Is there an API for invoice OCR?+
Yes — a REST API with Python and Node.js SDKs runs the same extraction and returns structured JSON, for recurring workflows or embedding invoice scanning in your own product.
Related guides
- Open-source OCR for invoice extraction: an honest assessment
- Choosing invoice data capture software: a buyer's checklist
- OCR preprocessing for invoice extraction
Looking for the job rather than the category? Convert invoices to Excel — same engine, framed around the output.
Scan your first invoices free
50 pages free every month. No credit card, no templates, no subscription — upload invoices and download structured data in minutes.