MailParse vs Parsio Receipt OCR

MailParse receives inbound email and converts MIME messages into structured JSON. It extracts text and HTML bodies, inline images, attachments, headers, and routing details, including nested and multipart messages. Parsed results can be sent by POST to a configured webhook, with exponential-backoff retries and HMAC signature verification, or retrieved through a REST polling API. Polling supports filters for sender, date range, subject, and attachment type, with cursor-based pagination. SPF, DKIM, and DMARC validation, spam scoring, and per-address rules support message handling. Attachments use signed download URLs and are retained for 72 hours by default, with plan-based retention settings. Custom domains require an MX record and ownership verification. If a webhook is unavailable, retries continue for up to 24 hours, with replay and polling recovery. MailParse offers API and web access. Free includes 100 emails monthly; Pro costs $29 per month and Scale $99 per month.

Parsio Receipt OCR extracts merchant name, date, line items, taxes, and totals from receipts for finance and operations workflows. It accepts scanned PDFs, photos, emailed receipts, and attachments, including printed, handwritten, or digital receipts in multiple languages. Its pre-trained model needs no template setup or field mapping. Receipts can be uploaded manually, emailed, or imported through the API and automation platforms such as Zapier and Make. Exports include XLSX, CSV, and JSON, with a REST API and customizable JSON webhooks also available. Parsio names QuickBooks, Xero, and Google Sheets as accounting integrations and says it connects to more than 6,000 apps through Zapier, Make, and its API. The free plan provides 30 credits per month, 30-day retention, and one user; no credit card is required. Paid plans start at $24 per month. A document or PDF page uses one, two, or three credits depending on parser type, and unused credits expire at the billing period's end. Parsio says customer data is encrypted and not used to train AI models, with configurable retention from 1 to 180 days.