Document extraction software

AI document data extraction for finance teams

Turn a pile of business documents into structured rows, then check the numbers before they reach Excel, your accounting system or an API.
By Dynamite Docs Editorial TeamPublished Aug 15, 2026Updated 2026-09-14
G25.0/5Capterra5.0/5Google5.0/5
Dynamite Docs logoDynamite Docs
Source → result
Document library: Documents to named fieldsDocument fields: Vendor name, invoice number, issue date, total amount. Table headers: Line number, item description, quantity, unit price, line total. Repeating rows: One normalized record per transaction or line item. Illustrative example, not extracted customer data.SOURCE DOCUMENTDocument libraryDocument fieldsVendor name, invoice…Table headersLine number, item…Repeating rowsOne normalized record…Documents to named fieldsDocument fieldsVendor name, invoice number,…Table headersLine number, item…Repeating rowsOne normalized record per…Review each file beside its result.
Document fields
Vendor name, invoice number, issue date, total amount
Table headers
Line number, item description, quantity, unit price, line total
Review each file beside its result. Illustrative example.
Sections08
Reading time8 min
EvidenceProduct guide

Answer in 30 seconds

Turn a pile of business documents into structured rows, then check the numbers before they reach Excel, your accounting system or an API.

Manual data entry is rarely hard because one field is difficult to type. It is hard because the files arrive in different layouts, tables continue onto another page and one wrong digit can spoil the finished dataset. Dynamite Docs reads embedded text when it is available and uses a vision-capable model for scanned or image-only pages.

The document extraction workspace returns named fields and table rows rather than a long block of OCR text. You can compare uncertain values with the source, fix them inline and reuse saved corrections on similar layouts. Once the result is ready, send it to Excel, CSV, JSON, Google Sheets, a webhook or the REST API.

Extract a document free

Start in the browser with no credit card. Sign up to download or keep the extraction.

Input register

Use the source file you already have

01

Digital PDFs

Use the existing text layer first, then organize fields and tables without retyping them.

02

Scanned files and receipts

Read image-based pages with AI OCR while keeping page layout available for review.

03

Multi-page packets

Carry tables across page breaks, remove repeated headers and keep page references for checking.

04

Mixed business documents

Process invoices, statements, purchase orders and other business files in the same workspace.

Extraction schema

Get fields and rows, not an OCR text dump

Document-level values stay separate from repeating records. That gives reviewers a usable schema and gives downstream systems predictable columns.

Dynamite Docs logoDynamite Docs
Inside the output
Document library: Documents to named fieldsDocument fields: Vendor name, invoice number, issue date, total amount. Table headers: Line number, item description, quantity, unit price, line total. Repeating rows: One normalized record per transaction or line item. Illustrative example, not extracted customer data.Source-linked field inspectorDocument libraryVendor name, invoice…Line number, item…One normalized record per…Document fieldsVendor name, invoicenumber, issue date, total…Table headersLine number, itemdescription, quantity, uni…Repeating rowsOne normalized record pertransaction or line item
Document fields
Vendor name, invoice number, issue date, total amount
Table headers
Line number, item description, quantity, unit price, line total
Repeating rows
One normalized record per transaction or line item
Review each file beside its result. Illustrative example.
Document fieldsVendor name, invoice number, issue date, total amount
Table headersLine number, item description, quantity, unit price, line total
Repeating rowsOne normalized record per transaction or line item
Dates and currenciesStandardized ISO dates and clean numeric currency values
Source coordinatesBounding boxes linking extracted values back to page locations
Confidence scoringCell-level and field-level confidence indicators for review

Procedure

From file to reviewed result

Dynamite Docs logoDynamite Docs
The handoff
Document library: Documents to named fieldsAdd the original files. Let the document define the schema. Check the result against the source. Send reviewed data where it belongs. Illustrative example, not extracted customer data.FROM SOURCE FILE TO A RESULT YOU CAN USEDocumentlibraryReview workspaceDocumentsto namedfields1Add the originalfiles2Let the documentdefine the schema3Check the resultagainst thesource
  1. 01Add the original files
  2. 02Let the document define the schema
  3. 03Check the result against the source
  4. 04Send reviewed data where it belongs
Review each file beside its result. Illustrative example.
  1. 01

    Add the original files

    Upload digital PDFs, scans, images or supported office files. API clients can submit stored documents programmatically.

  2. 02

    Let the document define the schema

    AI document extraction identifies key-value fields, tables and repeating rows without a coordinate template for each layout.

  3. 03

    Check the result against the source

    Review flagged fields beside the document, correct values inline and save useful field mappings for similar files.

  4. 04

    Send reviewed data where it belongs with Dynamite Docs

    Download Excel, CSV or JSON, push a table to Google Sheets, or deliver results through webhooks and the REST API.

Product evidence

Keep the source beside every correction using Dynamite Docs

The review workspace places the document next to the extracted table. Open a flagged cell, compare it with the page and fix the value without bouncing between a PDF viewer and a spreadsheet.

Side-by-side document review interface in Dynamite Docs.

Workflow Tour

8 steps

01 / Bring in files

Bring documents into one workspace.

Upload from your computer or choose files from Google Drive. Connected Dropbox and Slack workflows can bring in files too.

  • Google Drive logoGoogle Drive
  • Dropbox logoDropbox
  • Slack logoSlack
  • Local upload
Workspace preview01 / 08
Start with Import, then choose where your file comes from.
1 of 8
Worked Example: Document Input & Extracted Rows

Choose an output your next system can use using Dynamite Docs

One reviewed extraction can become a workbook, a flat import file, structured JSON or a shared Google Sheet.

AI Document Data Extraction for Finance | Dynamite Docs: reviewable document extractionReview the source document and extracted rows in one workspace.
AI Document Data Extraction for Finance | Dynamite Docs: human-in-the-loop validationResolve flagged values before approving the extraction.
AI Document Data Extraction for Finance | Dynamite Docs: Excel, CSV and JSON exportDownload reviewed data as CSV, Excel, or JSON.
AI Document Data Extraction for Finance | Dynamite Docs: Google Sheets exportPush reviewed rows into a new or existing Google spreadsheet.
FormatData structureUseful when
Excel (.xlsx)Multi-tab workbooks with document fields and line itemsFinancial modeling, reconciliation, and audit review
CSVFlat tabular rows with normalized column headersERP data imports, data lakes, and spreadsheet analysis
JSONStructured objects and typed arrays with coordinate dataAutomated APIs, backend pipelines, and cloud workflows
Google SheetsLive sheet export with dedicated document tabsCollaborative team reviews and operational tracking

Review gate

Treat confidence as a review cue, not a guarantee

Common Failure States & Troubleshooting

Password-protected files, damaged PDFs and illegible scans may fail before extraction or produce incomplete data. Use the cleanest original available.

Confidence

Confidence scores help you decide where to look first. Confirm money, tax identifiers, account details and payment dates against the source even when a score is high.

Accuracy

A reliable text layer avoids visual character recognition. Scans and photos add blur, skew, compression and lighting problems that need closer review.

Failure state

Password-protected files, damaged PDFs and illegible scans may fail before extraction or produce incomplete data. Use the cleanest original available.

Product boundary

Dynamite Docs extracts fields and tables. It does not recreate the source document's visual design, logos or page composition.

Know what the software checks and what the reviewer owns

The platform prepares the file and structures the result. Your rules and reviewers decide whether that result is safe to use.

System layerHandled byPrimary function
Document ingestionDynamite DocsText extraction, image rasterization, page splitting, and layout hashing
Schema inferenceAI Provider (Hosted or BYOK)Proposes document fields, table headers, and repeating line items
Data verificationHuman reviewer & rules engineConfidence scoring, mathematical reconciliation, and final sign-off
Downstream deliveryIntegrations & APIExports to Excel, CSV, Google Sheets, webhooks, and REST endpoints

Privacy, security and data residency controls

Free and anonymous files stay in browser storage, but hosted extraction still sends prepared document content to an eligible AI provider. Paid plans add encrypted cloud file storage.

Every signed-in tier can connect an AI provider key. Hobby, Pro, and Ultra can use the local Ollama companion for model inference on the user's computer.

Choose the next document task using Dynamite Docs

Browse all extraction and OCR guidesExplore all AI document extraction, PDF, and OCR tutorials.Extract structured tables and rows from PDFsExtract structured tables, line items, and metadata from PDF files.Parse complex PDF forms and nested tablesRead digital or scanned PDFs, then review fields and tables beside the source.Explore document OCR workflows and toolsExplore our complete library of OCR guides, workflows, and tools.Single-file PDF to Excel online conversionConvert PDF tables into structured spreadsheets without retyping.Automate intake via the document extraction REST APISubmit documents and retrieve structured results programmatically.Configure zero-retention private processing routesReview browser-only storage, provider training terms, and BYOK security.Compare plan limits and extraction volumeCompare Free, Hobby, Pro, and Ultra tiers with hosted and BYOK processing.

Questions about document extraction software

What is document extraction software and how does it work?

Document extraction software reads text and layout from PDFs, scans, and images, then proposes named fields and table rows. In Dynamite Docs, you compare that result with the source before exporting it to Excel, CSV, or JSON.

How does AI document extraction differ from traditional template OCR?

Traditional OCR depends on rigid coordinate zones that break whenever a vendor alters their layout. AI document extraction uses multimodal models that understand visual context and semantic meaning, extracting data accurately across varied layouts.

Can I extract data from multi-page documents and continued tables?

Yes. The extraction can join continuing rows and remove repeated headers. Review every page break because wrapped rows, subtotals and layout changes can still split or duplicate records.

Which AI providers can I use with Dynamite Docs document extraction?

Use managed hosted models, connect your own provider keys, or run local model inference through the Microsoft Store companion. Connect Ollama on your Windows PC and use your browser workspace for review and exports. Workspace and sign-in services require internet access.

Topic Cluster · In This Series

In This Series: AI Document Extraction Guides

Explore all 6 connected workflows in this series to master table extraction, invoice processing, data privacy boundaries, and local Ollama inference.

View guides hub
Current guideCore Workflow

Finance Document Extraction

Turn piles of mixed business paperwork into verified line items and tables with source-linked human check.

You are reading this workflow
Multi-Page PDFs

PDF Data Extraction to Spreadsheets

Extract PDF tables and line items beside original pages, resolving wrapped rows and page-break continuations.

Explore guide
Tables & Forms

Complex PDF Forms & Nested Grids

Parse borderless tables, dense fillable forms, and multi-tier subtotal grids into normalized structured data.

Explore guide
Invoices to XLSX

Invoices to Audit-Ready Excel

Separate invoice headers from repeating item lines into a clean, audited Excel workbook with math checks.

Explore guide
Data Security

Private Extraction & Zero Retention

Choose your processing path: zero-retention cloud models, client-isolated BYOK keys, or local loopback.

Explore guide
On-Device AI

Local RTX GPU Inference with Ollama

Run vision models on your Windows PC via the companion app with zero external API calls for document bytes.

Explore guide

Looking for other workflows? AI document data extraction and OCR guides covers all supported formats and procedures.

Browse all 6 workflows in this cluster

Connected Accounting & Document Automation

Related Workflows

Invoice Data ExtractionInvoicesBank Statement ExtractionBankingAccounts Payable AutomationAPPDF Extraction SoftwareGuideAccounting Automation HubHub
Browse all extraction guides

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