Verified private source
Clean digital baseline
A native or high-quality digital PDF. It has a clear header and multiple line items.
The baseline. Every invoice parser should handle this before the documents get difficult.
Results published · 3 fixtures approvedProtocol v1.0.0
Controlled test · InvariTech owns one tool
Best Invoice OCR Software8 tools. Same 3 documents.
We tested 8 tools using the same digital invoice, handwritten bill, and handwritten non-invoice note. We checked for usable structured results, not simply returned text.
Verdict
Results published
InvariTech was strongest for structured invoice-to-CSV extraction.
InvariTech produced all expected line rows across the two financial documents and correctly rejected the handwritten non-invoice note. In this small owned-document test, it was the strongest option for structured invoice-to-CSV extraction.
Results published
31 Aug 2026
1 baseline. 2 limit tests.
Three owned documents cannot prove universal accuracy. They can show whether a tool handles a clean digital invoice, a handwritten bill, and a handwritten document that should not become an invoice.
Verified private source
Handwritten limit test
A real handwritten bill or receipt. Labels, numbers, spacing, and table structure vary across the page.
The first limit test. It checks whether a tool reads handwriting without inventing fields or rows.
Verified private source
Handwritten non-invoice test
A real handwritten note that is not an invoice, bill, or receipt.
The false-positive test. It checks whether a tool can decline an ordinary handwritten document instead of inventing financial data.
8 tools tested on 3 owned documents.
We tested eight invoice-OCR tools using three documents we own: a digital invoice, a handwritten bill, and a handwritten non-invoice note. We checked whether each tool produced usable structured results, not simply whether it returned text.
No document names, raw values, private screenshots, or full exports are published.
Scroll sideways to see every column
| Tool | Account needed | Observed speed | Digital invoice | Handwritten bill | Handwritten note | Export/result type |
|---|---|---|---|---|---|---|
| InvariTech Owned by publisher | No | 2m 01s for all 3 files | Strong | Strong | Correctly rejected | Structured CSV |
| Thunderbit | No | ~30s | OCR text returned | OCR text returned | OCR text returned | OCR text, not structured CSV |
| InvoiceOCR.app | Yes | ~2m | Failed | Partial | Empty export; outcome unverified | CSV |
| Parseur | Yes | ~2m | Partial | Partial | Processing failed | CSV |
| Docparser | No | ~30s per file, one at a time | Partial | Failed | Failed | Structured demo result |
| Nanonets | Company email | ~1-2m | Strong | Partial | False positive | Structured result |
| PDF.co | Yes | ~1–2m | Strong | Strong only after manual PDF conversion | Original image unsupported | JSON |
| DocuClipper | Yes | ~40s | Strong | Weak | False positive | CSV; malformed multiline export |
- Strong
- Core fields and line items usable with normal review.
- Partial
- Some usable extraction, but important omissions or errors.
- Failed
- No usable result.
- OCR text
- Text extraction only; excluded from structured CSV ranking.
- False positive
- Treated the handwritten note as invoice-like data.
Usable structure matters more than returned text.
We assessed core invoice fields, line-item fields, non-invoice rejection, and whether each export was structurally usable as CSV or structured data.
How OCR text was treated
Raw OCR text was not scored as accounting-ready line-item extraction because text alone does not preserve dependable row and column relationships.
- 01Supplier name
- 02Invoice number
- 03Invoice date
- 04Customer
- 05Currency
- 06Subtotal
- 07Tax
- 08Total
- 01Description
- 02Quantity
- 03Unit
- 04Unit price
- 05Amount
- Non-invoice rejection
- Signup before first result
- Credit card requirement
- Usable free allowance
- Structurally usable CSV or structured-data export
- Multi-page support
- Manual configuration
- Time to usable result
- Published file-retention claim
We built one of the tools. That matters.
Disclosure: InvariTech owns one of the 8 tools in this comparison. We used the same three owned documents and assessment rules for every tool.
No vendor pays to appear. We use no affiliate links. The comparison reports observed outcomes without publishing private source data or full exports.
3 documents can expose failures. They cannot prove universal accuracy.
Results vary with document quality, language, layout, and handwriting. Always review financial data before approving payments or posting entries.
Use the line-item review checklistWe keep every change visible.
31 Aug 2026
All three ground-truth fixtures were approved and the 8-tool comparison results were published without private document names, values, screenshots, or exports.
Results releaseTest the document you care about
Turn invoice line items and totals into CSV.
Upload a PDF, JPG, or PNG. Check the header fields and line items against the source, then download one CSV without creating an account.