IN THE FIELD GUIDE
digiparser
digiparser.com
DigiParser is an AI-powered document automation software that extracts data from various documents such as invoices, bank statements, purchase orders, and shipping documents with 99.7% accuracy. It supports multiple document types and outputs structured data in CSV, Excel, or JSON formats, integrating with many popular tools and offering API access for seamless workflows.
THE PRODUCT, BEYOND THE PITCH
Editorially reviewed · Sources checked Sep 10, 2026
A good fit for
- Accounting firms, freight forwarders, manufacturers, and professional services companies needing document data extraction
- Teams requiring fast, accurate document processing with minimal setup
Know the limitations
- Confidence score may overestimate accuracy on unclear images
What you can do
- Automating invoice scanning and data structuring for accounting and audit teams
- Processing large volumes of documents for freight forwarding and manufacturing companies
Features
- Outputs structured data in CSV, Excel, and JSON formats
Integrations
Not confirmed yet.
Platforms & data export
- CSV, Excel, JSON
THE COST FOR YOUR TEAM
Go beyond the starting price.
Published plan prices for your team size and usage. Results update as you type. Taxes, currency conversion and unlisted add-ons are excluded, and anything the source did not state is called out rather than guessed.
Known monthly subtotal
$0.00/month
1 of 1 tools could not be priced with these inputs, so this is not the full cost.
| Tool / plan | Monthly | Per year | What this assumes |
|---|---|---|---|
| No pricing recorded yet. Check the official site, or ask the owner to add it. | |||
A practical workflow
- Upload documents via web app or forward emails with attachments; DigiParser processes files and organizes results in one place
- Choose a document type and start extracting the needed data using ready-made parsers
Based on the sources below. Editorial review does not imply hands-on product testing.
Alternatives to explore
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Plan a switch from digiparser →What changed
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