Airparser vs CV Parser API

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.

CV Parser API converts CVs supplied by URL into structured JSON through a GraphQL API. It extracts skills, work experience, education, and contact details into a predictable schema, with PDF, DOCX, and text resumes listed as supported formats. The site says parsing can take seconds. Requests use an API key in the X-API-Key header, and rate limits and quotas apply. Zapier and n8n are named for automation workflows, while ATS and HRIS integrations are also described. Security features listed in the FAQ include audit logs, encryption in transit and at rest, and options to pin processing to specific regions. The homepage describes GDPR-focused privacy controls and states 99.9% uptime. The Free plan costs nothing for 50 parses and email support. Starter costs $29 a month for 1,000 parses; Pro costs $99 a month for 10,000.