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docTR vs Veryfi Invoices OCR API

docTR

mindee.github.io

Veryfi Invoices OCR API

veryfi.com

Side by side

FiguredocTRVeryfi Invoices OCR API
Price fromFree$500/mo
Free planYesYes
Free trial—Yes
Open source——
Web—Yes
WindowsYes—
macOSYesYes
LinuxYes—
iOS—Yes
Android—Yes
APIYesYes
Self-hostedYes—
Plans published13
Spec score · OCR API Software8.9 (#2)8.6 (#5)
Founded20212017
IntegrationsThe documentation describes loading and sharing models through the Hugging Face Hub.Veryfi lists QuickBooks, QuickBooks Online, Xero, NetSuite, Sage, Saasu, Slack, Box, Rippling, Zapier and Google Drive integrations.
SupportThe contribution guide directs users with questions to GitHub Discussions and also mentions a #doctr channel on Slack.The invoice API page offers API documentation, FAQs, human expert support, and a free demo.

Plans

docTR

  • docTR open-source Python libraryFree

docTR pricing →

Veryfi Invoices OCR API

  • FreeFree
  • Starter$500 a month
  • GrowthPriced on request

Veryfi Invoices OCR API pricing →

In their own words

docTR

docTR is a free deep-learning OCR library for finding and recognizing text in documents, aimed at document automation and research. Its pretrained OCR predictors first detect text and then recognize it, while a layout predictor identifies regions such as tables, figures, and headers. It reads PDFs and images; web-page input requires the optional HTML extra. Results can be rendered as plain text or exported as a JSON-serializable nested dictionary. The project describes its predictors as optimized for CPU and GPU inference. Users can train custom detection, recognition, layout, and table-structure models when pretrained models are not suitable. Documentation covers loading and sharing models through the Hugging Face Hub, and includes a minimal REST API deployment template and a browser demo. Installation is available through pip, Git, or official Docker images. The library requires Python 3.11 or higher, and pretrained weights download on first use and are cached locally. For AWS Lambda, the guide advises disabling multiprocessing and placing the model cache within /tmp. The project uses the Apache License 2.0.

Visit mindee.github.io

Veryfi Invoices OCR API

Veryfi Invoices OCR API extracts invoice information into structured JSON, including vendor details, line items, tax, and totals. It accepts documents such as PDFs and images, and the response includes OCR text for downstream applications. Veryfi says the API supports over 150 fields covering supplier, line-item, tax, and payment data. The product page describes checks for altered or duplicate invoices, including digital tampering analysis, PDF layer analysis, and duplicate detection. Developer resources include SDKs and code samples for Python, Node.js, PHP, C#, and Java, among other languages; n8n and Zapier are listed for workflow connections. Veryfi states that its platform is SOC 2 Type II certified and uses TLS 1.2 and 1.3, salted password hashing, and AES encryption at rest and in transit. It says it complies with GDPR, CCPA, and HIPAA, and will sign a BAA upon request. The API is described for accounts payable, bill pay, and three-way purchase-order matching. The free plan allows up to 100 documents monthly. Starter costs $500 a month, with a minimum commitment and a listed $0.16; each transaction covers a document up to 15 pages.

Visit veryfi.com