DigiParser is an AI document data extraction service that turns PDFs, scans and email attachments into structured data. Its manufacturing pages focus on two document types: customer purchase orders and supplier invoices. It extracts header fields and line items, lets teams review the results, and sends the data to spreadsheets, accounting tools or custom systems.
The company states that more than 2,000 businesses use it, that it has processed over 5 million documents and that extraction accuracy is about 99%. These are vendor figures. Beyond manufacturing, it offers parsers for bank statements, receipts, bills of lading, W-2s, passports, ID cards and resumes.
How does DigiParser work?
Documents come in through the web app, forwarded emails with attachments, connected inboxes and folders such as Gmail, Outlook and Google Drive, an upload page, or the API. The app works like an email inbox, keeping each processed file and its results in one place.
Users pick a ready-made parser or create a custom one, choose header fields and item columns, and add AI instructions per field. Results can be checked against the source, with review stages for files needing human attention. Data is then exported as Excel, CSV or JSON, or pushed to connected tools.
Key features of DigiParser
The core feature is field and table extraction, covering items such as PO numbers, delivery dates, quantities, invoice references, tax and totals. Per-field AI instructions help one parser handle vendors with different layouts, and custom fields can capture details specific to your documents.
Pro and above add AI splitting for multi-invoice PDFs, document type rules, classification and per-field confidence scores. Scale adds advanced extraction modes and bring-your-own storage. Every plan includes email inbox processing, API access, two-factor authentication and EU or US hosting.
Key Features
Field and line-item extraction — Extracts header fields and line-item tables, such as customer, PO number, delivery dates, items, quantities and prices from POs, or supplier, invoice number, tax and totals from invoices.
Ready-made and custom parsers — Starts from parsers for invoices, purchase orders, bank statements, receipts and bills of lading, or lets users create a custom parser for any document type.
Per-field AI instructions — Each extraction field can carry its own AI instructions to clarify how information should be identified, which helps with layout differences between vendors.
AI splitting, rules and classification — On Pro and above, splits multi-invoice PDFs, applies document type rules and classifies incoming documents so each type reaches the right parser.
Review before export — Lets users check extracted data against the source document and configure review stages for files needing human attention.
Per-field confidence scores — Available on Pro and above, shows how certain the model is about each field. Enabling it uses 1 page credit per page.
Email and upload intake — Accepts uploads in the web app, forwarded emails with attachments, an upload page, an embed widget and API intake, organized in an inbox-style view.
Exports and direct connections — Downloads Excel, CSV or JSON, or sends data to tools such as Google Sheets, QuickBooks Online, Airtable and Salesforce.
API, webhooks and MCP — Offers API access, webhooks, custom code export and an OAuth-based MCP server for connecting AI assistants.
EU and US hosting — Workspaces can be hosted in the EU or US on all plans, with a standard DPA, two-factor authentication and role-based access.
Pros & Cons
Pros
Handles both header fields and line-item tables, with ready-made parsers for invoices, purchase orders, receipts, bank statements and bills of lading.
Review stages let teams check extracted data against the source before it moves to a spreadsheet or accounting system.
Broad integration list: 24 connections across email, cloud folders, spreadsheets, accounting, CRM and automation platforms.
Per-field AI instructions let one parser cover multiple vendors with different layouts, according to a user review.
7-day free trial with no credit card, and EU and US hosting with a standard DPA on every plan.
Reviewers on the site praise setup speed and responsive support, including help building a custom parser.
Cons
No permanent free plan is listed on the pricing page; the entry point is a 7-day trial, then Starter at $49/month billed yearly.
Pricing is page-based, and options such as confidence scores use extra page credits, so usage can exceed document counts.
A reviewer says confidence scores tend to run high even on unclear images, and asks for more transparency on which models are used.
Confidence scores, AI splitting and classification require Pro or above, and SSO and audit logs are Enterprise only.
Pricing
Starter $49/month Billed $588 yearly
Pro $149/month Billed $1,788 yearly
Scale $299/month Billed $3,588 yearly
Enterprise Custom pricing
Frequently Asked Questions
What is DigiParser?
DigiParser is an AI document data extraction service. It turns documents such as customer purchase orders, supplier invoices, receipts and bank statements into structured fields and line items that can be reviewed, exported or sent to other tools.
How much does DigiParser cost?
Starter is $49/month, Pro is $149/month and Scale is $299/month, with yearly billing of $588, $1,788 and $3,588. These plans include 500, 2,000 and 5,000 pages per month. Enterprise pricing is custom.
Does DigiParser have a free trial?
Yes. Every paid plan starts with a 7-day free trial, with full access to all features during the trial and no credit card required. The pricing page does not list a permanent free plan.
What does DigiParser integrate with?
It lists 24 connections, including Gmail, Outlook, Google Drive, Dropbox, Box, OneDrive, Google Sheets, Microsoft Excel, QuickBooks Online, Zoho Books, Airtable, Salesforce, Zapier, Make and Pabbly Connect. It also offers webhooks, an API and an MCP server.
Can DigiParser extract line items from invoices and purchase orders?
Yes. It extracts both header fields and line-item tables. For purchase orders that includes items, quantities, prices and delivery dates, and for invoices it includes tax, totals and line items. Users can add their own fields and item columns.
Who is DigiParser best for?
It suits manufacturers, AP and order-entry teams, accounting firms and bookkeepers who process recurring documents from many senders. Developers can also use the API and webhooks to build it into their own systems.
Is DigiParser good for small businesses?
The Starter plan is aimed at individuals and small teams with recurring document work, and includes 500 pages per month, 5 parsers and 3 team members. Teams should estimate monthly pages first, since plans are priced by page volume.
Where is data hosted?
DigiParser lists EU and US hosting on all plans, along with a standard Data Processing Agreement. Enterprise adds options such as dedicated infrastructure, on-premise deployment and bring-your-own storage.