DocuOCR captures documents from your scanners, email, uploads, and apps, reads them with OCR, classifies each one, and extracts the data inside into your business systems. No manual sorting, no retyping, and no template to build for every new layout.
Built for US finance, operations, and healthcare teams that need document data in their systems, not in a filing cabinet.
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Document capture software is the step that gets information off a document and into your systems. You feed it a scanned page, a PDF, an emailed attachment, or a phone photo, and it reads the page, works out what kind of document it is, and pulls out the exact values you need as structured data. The document goes in one side, and clean records come out the other, with no one sitting at a keyboard retyping fields from a screen.
Underneath, capture chains a few technologies together. OCR reads the characters on a scanned or photographed page so the text becomes machine-readable. Classification decides whether the file is an invoice, a statement, a form, or an ID, and routes it down the right path. Extraction then locates the fields and tables that matter and returns them as named values. Validation checks each value and flags anything uncertain, so bad data does not slip through.
The phrase covers a range of tools. Template-based capture needs a fixed zone defined for every field, so it breaks the moment a vendor changes their layout or a new document type arrives. Intelligent document capture uses AI to recognize the document and find the fields on layouts it has never seen, which is what makes it hold up across the dozens of formats real businesses receive from people who never coordinate with them.
Ingest, classify, extract, route. Set it up once and documents flow through on their own.
Documents arrive by scanner, forwarded email, upload, watched folder, or API. Digital and scanned files both work.
DocuOCR detects the document type, separates batches, and routes each file down the right extraction path automatically.
OCR turns scans into text, then AI locates the fields and tables you need, scores each value, and flags anything uncertain.
Validated records export as JSON, Excel, or CSV and flow into your ERP, accounting, or content system with no retyping.
# scan_inbox/invoice_4471.pdf -> captured record { "source": "email_inbox", "document_type": "invoice", "fields": { "invoice_number": "INV-4471", "vendor": "Acme Supply Co", "total": "4820.66" }, "line_items": [ /* 12 rows, columns intact */ ], "confidence": 0.98, "routed_to": "accounting" } # ready for your systems
Your documents do not all come in the same way, so capture meets them on every channel they show up on.
Pull batches straight from network scanners and multifunction printers, so back-file conversion and the daily mail both flow in automatically.
Forward or auto-route documents to a capture inbox and have attachments ingested, classified, and extracted the moment they land.
Let staff drop one-off files into the dashboard and get the same OCR, classification, and extraction applied to each one.
Point capture at a network or cloud folder and every file that arrives there is processed without anyone lifting a finger.
Post documents from your own app and get structured data back, so capture runs inside the systems you already operate.
Capture a document from a phone photo in the field, with OCR cleaning up the image before extraction begins.
Everything between a document arriving and clean data landing in your systems, handled without manual keying.
Capture recognizes whether a file is an invoice, a statement, a form, or an ID and routes it down the right path, with no manual sorting.
Built-in OCR reads scanned, faxed, and photographed pages that have no selectable text, so image-only documents become usable data.
Pull named values and keep line-item tables structured, so a multi-row invoice or statement returns as clean rows and columns.
A confidence score on every field plus rule checks catch bad values, and anything uncertain drops into a review queue for a human.
Send finished records to your ERP, accounting system, or content store as JSON, Excel, or CSV, with no retyping in between.
SOC 2, encryption in transit and at rest, and US data handling keep sensitive documents protected through the whole capture pipeline.
They get confused often. Capture gets data off the document; document management stores the document afterward. Here is the line between the two.
| Factor | Document capture | Document management |
|---|---|---|
| What it does | Gets data off documents | Stores and organizes documents |
| Core technology | OCR, classification, extraction | Indexing, search, retention |
| Where it sits | Front end of the workflow | System of record afterward |
| Output | Structured fields and tables | Filed, searchable documents |
| Without it | Staff key data by hand | Files scattered across drives |
| Works best | Feeding data into systems | Keeping documents findable |
Most teams run both. Capture turns the inbound paper and PDFs into data, then hands the original file to a document management system or content store to keep. DocuOCR is the capture layer, and it exports to wherever you keep your records.
Any workflow that starts with inbound documents and ends with data in a system is a fit.
Capture invoices from email and scanners, classify them, and extract vendor, totals, and line items into your accounting system.
Capture statements, remittances, and applications into structured records for onboarding, lending, and reconciliation.
Capture claims, intake forms, and EOBs, reading hand-printed fields, then route validated data into claims and EHR systems.
Capture tax forms, IDs, and applications into labeled fields so new-hire data flows into HR systems on day one.
Capture bills of lading, packing lists, and purchase orders into ERP and tracking systems without manual keying.
Capture high volumes of forms and records into searchable, structured data for case management and records retention.
Capture a document by hand in the dashboard, or wire the same engine into your app with a REST call. Post a file, get a classified, structured record back, with named fields, tables, and a confidence score on every value. No template setup and no per-vendor rules to maintain.
# capture a document with one call curl https://api.docuocr.com/v1/capture \ -H "Authorization: Bearer $KEY" \ -F "[email protected]" \ -F "classify=true" # -> type + fields + tables + confidence
No seat licenses and no setup fees. Start free to check capture accuracy on your own documents, then pay per page as your volume grows. Higher volumes move to committed plans with lower per-page rates and priority throughput.
The questions people ask most before they choose document capture software.
Document capture software is a tool that pulls information off your documents and turns it into structured data your systems can use. It takes in scanned pages, PDFs, emails, and photos, reads them with OCR, identifies the document type, extracts the fields you need, and sends clean records to your business applications instead of leaving staff to retype them.
Document capture software works in three stages. First it ingests documents from a scanner, an email inbox, an upload, or an API. Then it runs OCR to read the page, classifies the document, and extracts the values you asked for. Finally it validates each value and routes the structured data to your accounting, ERP, or content system.
Document capture is the front end that gets data off a document; document management is where that document and its data live afterward. Capture handles scanning, OCR, classification, and extraction. A document management system then stores, indexes, and retrieves the file. Capture feeds the system, and the system keeps everything organized and searchable.
Intelligent document capture uses AI to read and classify documents without a separate template for every layout. Older capture tools needed a fixed zone for each field, so a new vendor format broke them. Intelligent capture recognizes the document, locates the fields, and extracts them even on layouts it has never seen before, which is what holds up in production.
The best document capture software ingests from scanners, email, and an API, classifies documents automatically, reads scans with accurate OCR, extracts named fields and tables, validates each value with a confidence score, and exports to your business systems. It should also meet US security standards like SOC 2. DocuOCR covers all of this and lets you trial it free on your own documents.
Yes. OCR is the engine that turns a scanned or photographed page into machine-readable text, and document capture software runs it as the first step on any image-based file. Capture then goes further: it classifies the document and extracts specific fields, so you get structured data ready for your systems rather than just a wall of recognized text.
Yes, modern document capture software reads hand-printed entries on forms using intelligent character recognition, the handwriting equivalent of OCR. Accuracy is highest on clearly printed characters in defined boxes, such as application and intake forms. Cursive and messy writing are harder, so the software scores its confidence and flags uncertain values for a quick human check.
Document capture pricing usually runs per page or per document rather than per seat, so cost scales with volume instead of headcount. DocuOCR starts free so you can test capture accuracy on your own documents, then charges per page as you grow, with lower rates on committed plans. There are no setup fees and no seat licenses to buy.
How capture, classification, extraction, and validation fit together in one end-to-end IDP workflow.
The full platform behind capture, with a dashboard for teams who want to extract document data without code.
Turn captured documents into structured JSON, Excel, or CSV with named fields and intact tables.
Put capture on autopilot so document data flows into your ERP or CRM without manual keying.
The developer endpoint that turns captured documents into structured JSON inside your own app.
Connect captured data to QuickBooks, NetSuite, and the tools your team already runs.
Upload a document, watch DocuOCR capture and extract it into a structured record, then connect the API to capture every file that follows automatically.
