ExtractFox vs Parsio

Pick Parsio if documents arrive by email and you need its inboxes and Google Sheets, Zapier, Make or n8n integrations. Pick ExtractFox if you upload PDFs, scans and photos and want a table back with no setup: it counts a file, not a page, and starts at $9 a month for 100 files or $5 once for 50.

By ExtractFox team · Updated

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The short version

Parsio is an email and document parser: you forward emails or upload documents to a mailbox, one of its four engines (GPT, pre-trained AI, template or OCR) reads them, and the data goes to Google Sheets, Zapier, Make, n8n, a webhook or the API. ExtractFox is an upload-and-extract tool and REST API: drop a PDF, scan or photo, pick a document type or describe the fields, and download Excel, CSV or JSON. The practical difference is the unit: Parsio charges 1 to 3 credits per page depending on the engine (2 with the default GPT parser), so a five-page statement costs 10 credits; ExtractFox charges one extraction per file.

Side by side

FeatureExtractFoxParsio
Entry paid plan$9/mo for 100 files$29/mo for 100 credits ($24 billed yearly)
Free tier2 without signup; 5/mo with account30 credits/month after signup
What one credit buys1 file, any page count1 page (template, OCR); ½ page (GPT); ⅓ page (AI)
One-time purchase50 extractions for $5, no expiry—
Unused creditsPack credits never expireExpire each billing period
Setup before the first resultNoneChoose a parser; prompt or template
Email inbox parsing—✓
Google Sheets / Zapier / Make / n8n—✓
Excel / CSV / JSON download✓✓
REST APIPaid plans✓

Why teams switch from Parsio

Multi-page PDFs cost less

A 10-page bank statement is 20 Parsio credits with the GPT parser and one ExtractFox extraction. 100 such statements a month need Parsio Growth (5,000 credits, $149) against ExtractFox Starter ($9).

No parser to choose or set up

Upload a document and ExtractFox returns a table on the first try; for unusual fields, type what you want in plain English. There is no engine to pick and no template to maintain when a layout changes.

Pay once if volume is irregular

The $5 pack buys 50 extractions that never expire. Parsio's credits reset every billing period.

Pricing

ExtractFox

Two extractions without an account, 5 a month with a free one. Starter $9/mo for 100 extractions, Pro $19 for 300, Business $49 for 1,200, Scale $149 for 4,000. One-time pack: 50 for $5.

Parsio

Free Sandbox: 30 credits a month. Starter $29/mo for 100 credits or $49 for 1,000, Growth $149 for 5,000, Business from $299 for 12,000; yearly billing saves about 17% (Starter 100 is $290 a year). One page costs 1 credit with templates or OCR, 2 with the GPT parser, 3 with the AI parser; unused credits expire.

ExtractFox is cheaper for uploaded PDFs, especially multi-page ones. Parsio is worth it when emails are the input or a fixed layout lets you use its 1-credit template parser.

When Parsio is the better pick

Pick Parsio if your documents arrive as emails, you need the data pushed automatically to Google Sheets, Zapier, Make, n8n or a webhook, or your layouts never change and its template parser fits.

Sources

Everything said about Parsio on this page comes from these pages, checked on the date shown.

Frequently asked questions

Cheap alternative to docparser or parseur for pdf data extraction

ExtractFox: $9 a month for 100 files of any length or $5 once for 50, with two extractions free without an account. Parsio, the other common answer, is $29 a month for 100 credits, about 50 pages with its GPT parser. The full list is on the Parsio alternatives page.

Free ai tool to extract invoice data from pdf to csv

ExtractFox's invoice extractor returns vendor, dates, line items, tax and totals as CSV, Excel or JSON, two times without an account and 5 a month with a free one. Parsio's free Sandbox is 30 credits a month after signing up.

Can ExtractFox parse emails like Parsio?

No. ExtractFox has no inbox; you upload files in the browser or send them to the REST API. If documents arrive by email and must be processed without anyone opening them, Parsio is the better fit.

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