Airparser vs DigiParser

Airparser turns emails, PDFs, and other documents into structured fields you define. Its text and vision language models plus AI OCR handle typed text, scans, and handwriting, with recognition in more than 60 languages. Low-confidence results can wait for human review, correction, and approval before export. Parsed information can be downloaded as Excel, CSV, or JSON, or sent to webhooks and services including Zapier, Make, n8n, Google Sheets, and Airtable. Python post-processing is included in plans, and an AI code assistant can draft and test code from plain-language instructions. Airparser works through the web and an API, with workflow routing and cloud deployment. Each parsed email, document, or PDF page consumes one credit, and unused credits expire at the billing period’s end. A Trial plan is listed at free with 20 credits/month and 30 days’ retention. Paid plans start at $33 a month, billed annually.

DigiParser uses AI and OCR to extract structured data from documents and emails. It processes PDFs and images, including JPG and PNG files, and lets users define custom parsers with chosen fields and formatting. Its payslip parser extracts earnings, deductions, year-to-date figures and employer information, and supports batch processing of hundreds or thousands of payslips. DigiParser provides web and API access, including a REST API, webhooks, Zapier and Make; its integration directory lists more than 5,000 connected apps and software. The payslip parser page claims 99.7% extraction accuracy, support for over 100 languages, and SOC 2 Type II and GDPR compliance. Intended users listed for that parser include lenders, HR teams, financial institutions, background check providers and accounting teams. Support includes documentation, video tutorials and email. The free plan covers 100 documents per month without requiring a credit card, and a free trial is available. Paid plans start at $14 a month for 100 payslips; enterprise pricing is offered for 1,000 or more documents per month.