Airparser vs CVParser.AI

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.

CVParser.AI parses CVs through an API and returns extracted data in an HTTPS response. It accepts CV content in any human language and supports PDF, DOCX, DOC, ODT, PPTX, PPT, JPEG, and PNG files. The described integration sends an HTTPS request and stores the returned data in the customer's database. Parallel calls can parse up to 500 CVs per minute, though high-volume users are advised to contact the company. The company says processing takes place in Google Cloud Platform EU regions and data does not transit outside the EU. It says submitted data is used to process CVs and return results, and shared only with cloud providers; each CV and its data traces are deleted when parsing ends, after around 20 seconds of processing. Users can sign up for free credits, but production use requires a subscription. Monthly plans have no commitment and can be cancelled, downgraded, or upgraded. They range from €59 a month for 1,000 CVs to €849 a month for 100,000 CVs, with extra parsed CVs billed per CV.