DocuOCR is AI document data extraction software for US businesses: upload invoices, statements, contracts, forms and IDs, get the fields and tables back as Excel, CSV, JSON or through the API, with a confidence score on every value.
Most OCR tools give you back text. DocuOCR gives you back data. You upload a PDF, a scan or a phone photo, and the extraction runs in three steps inside our own infrastructure: the page is read (printed or handwritten), the document type is recognized, and the fields you asked for are pulled out as structured values. There is no template to draw and no zone to configure. A vendor invoice, a bank statement and a bill of lading go through the same pipeline and come out as rows you can post to an ERP, an accounting system or a spreadsheet.
Every extracted value carries a confidence score. That matters more than the headline accuracy number, because it is what lets an operations team auto-approve the clean documents and route only the uncertain ones to a person. We explain how to set that threshold, and how the scales differ between vendors, on our OCR confidence score page.
Finance and accounts payable teams that key invoices and statements by hand today. Operations and shared-services groups that run one document pipeline across departments. Developers who need a REST endpoint that returns clean JSON rather than a bounding-box dump. The product is built for US companies and priced in US dollars with plans listed in full on the pricing page. You can try the extraction on your own documents before you buy: the demo on the homepage processes real files, not a canned sample.
Documents travel over TLS and are processed on our secured infrastructure. Uploaded source files are purged automatically after a fixed retention window, separately from the extracted results, which stay in your workspace until you delete them. We do not use your documents to train or fine-tune shared models without your written consent. We also say plainly what we do not have: we do not currently hold a SOC 2 attestation or an ISO 27001 certificate, and we do not offer a customer-facing audit log. The full detail, including sub-processor categories and data-subject rights, is in the privacy policy.
A large part of this site is buyer research: what AWS Textract, Azure Document Intelligence, Google Document AI, Mistral, ABBYY and the open-weight models actually cost per 1,000 pages, what limits they enforce, which of them return a confidence score, and which publish an accuracy benchmark. We read those figures from each vendor's own price list or documentation, state the date we checked, and update them when the feed changes. Where a vendor publishes no price, we say so rather than repeat a number from a forum. Where a competitor is cheaper or better for a job, the page says that too. Buyers who read those pages and then choose Textract are fine with us; buyers who need typed fields, a confidence score and no template setup tend to come back. Start with the OCR API pricing comparison or the OCR accuracy comparison.
Email [email protected] for product, billing or data-handling questions, or open the chat in the corner of any page. For a volume quote, an API walkthrough or a question about a specific document type, the same address reaches the people who build the product. Developers can start with the API documentation.
Upload a few invoices or statements and see the extracted fields, tables and confidence scores before you decide anything.
Run the extraction demo