DigiParser
DigiParser: A practical parser for turning email attachments and documents into structured, exportable data. Ranked #2 of 21 in Email Parsing Software by our editors (8.5/10); pricing: Free plan; best for email and document extraction with OCR.
At a glance
- Editor score8.5 / 10
- PricingFree plan
- Best forEmail and document extraction with OCR
- Free planYes
- Attachment parsingYes
- Facts checked20 Sep 2026
Where it wins
- OCR extracts data from scanned documents and images
- REST API, webhooks, and automation integrations support workflows
- Custom fields, parsing rules, validation, and batch processing add control
Where it doesn't
- The Free plan is limited to 100 documents per month
- Higher-volume processing uses custom enterprise pricing
- DigiParser is not open source
Our verdict on DigiParser
DigiParser is a cloud platform for extracting structured data from email bodies, attachments, PDFs, images, spreadsheets, and other documents. It is aimed at operations, finance, procurement, logistics, HR, and other teams that need to turn incoming files into usable fields. Users can create dedicated email inboxes, define custom extraction fields and parsing rules, review results, and export processed data.
The published plans show a Free plan at $0 USD per month with 100 documents per month. The Paid plan also highlights 100 documents per month and offers custom enterprise pricing for higher volumes. DigiParser supports web and API access, with REST API connectivity and webhook delivery for processed data and real-time notifications. Its integration set includes Zapier, Make, n8n, Google Sheets, Salesforce, MySQL, PostgreSQL, and MongoDB, making it suitable for workflows that move extracted data into automation tools, business systems, spreadsheets, or databases.
OCR is a central strength: DigiParser can extract information from scanned documents and images alongside email content and common file types. Batch document processing and review and validation before export provide useful controls for teams handling recurring document flows. CSV, Excel, and JSON exports support downstream use, while custom fields and rules allow the extraction process to reflect different document formats. DigiParser should suit teams that want email intake, OCR, structured extraction, and workflow connections in one product. Teams handling higher volumes should assess the paid plan’s custom pricing, and organizations seeking open-source software should choose an alternative.
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DigiParser pricing
All 2 DigiParser plans and prices →
DigiParser fact sheet
| Free plan | Yes |
|---|---|
| Paid from | Not verified |
| Attachment parsing | Yes |
| OCR extraction | Yes |
| Webhook delivery | Yes |
| API access | Yes |
| Custom extraction fields | Yes |
| Monthly email limit | Not verified |
| Money-back guarantee | 30 days |
| Deployment | Cloud |
| Platforms | Web |
| Compliance & security | SOC 2, GDPR, HIPAA |
| Support | Email, Docs · 24/7 |
| Built for | Small business, Mid-market, Enterprise (editorial estimate) |
| Integrations | 5,000+ integrations: Zapier, Make, n8n, Google Sheets, Salesforce, MySQL … |
| Pricing | Free plan (source) |
| Website | digiparser.com |
| Facts checked | 20 Sep 2026 |
DigiParser integrations
DigiParser lists 5,000+ integrations on its own site — the 8 named here are the ones its pages call out.
- Zapier
- Make
- n8n
- Google Sheets
- Salesforce
- MySQL
- PostgreSQL
- MongoDB
Alternatives to DigiParser
- AirparserA flexible email and document parser for structured extraction and review workflows.8.7
- MailparserA broad email parsing service for turning recurring messages into structured workflows.8.2
- ParseurParseur turns emailed documents into structured data through AI, OCR, templates, and automation.8.1
See all DigiParser alternatives →
DigiParser vs the competition
- DigiParser vs Airparser
- DigiParser vs Mailparser
- DigiParser vs Parseur
- DigiParser vs Document Parser
- DigiParser vs inbound
- DigiParser vs MailParse
Compare DigiParser with any tool side by side →
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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