Parserdata

Parserdata positions itself narrowly, and that is a strength rather than a limitation for the right buyer. It is an intelligent document processing engine for invoices, receipts, and bank statements — not a general-purpose document AI. If that is your document mix, the feature surface lines up with what AP work actually requires: single-field extraction for names, dates, and totals; full table extraction for line items; multi-format uploads across PDF, JPG, PNG, and WEBP; and schema-based selection when you want to define exactly which data points come back rather than accept model guesses. The automated-AI-versus-schema-based split is the most interesting design decision. Automated mode detects fields and tables for you. Schema mode lets you declare precisely what you need — from a single value up to a complex table — which is what disciplined finance teams usually want, because it makes output shape predictable downstream. On the output side, Excel and CSV exports are available on every plan, but JSON and XML exports plus automation-ready API access start at the Business tier. That matters: a developer evaluating Parserdata cannot exercise the API-to-pipeline path on the free or Pro plan. The free tier is 35 credits with no credit card required, Pro is $25 for 250 credits, Business is $119 for 1,250 credits, and Corporate is $199 for 2,500 credits — all prices shown before tax. Beyond extraction, Parserdata layers reporting on top: automatic report generation from extracted data, built-in charts and category breakdowns, AI-generated highlights, 'signals worth checking,' and PDF export for sharing or archiving. For a finance lead that is the difference between a data pipeline and something you can actually hand to a reviewer. Weaknesses worth naming. The platform is financial-document-only by design — medical forms and legal contracts are out of scope, and you should not try to stretch it. No mobile or desktop app is described anywhere in the sources; this is a web-and-API product. Independently verified performance benchmarks do not exist publicly; the 'roughly 80% development-time reduction versus OCR+regex' figure comes from Parserdata's own March 2026 blog post and should be treated as a vendor claim, not an audited number. Credits are the unit of consumption, so your real cost depends entirely on page volume, and the per-page rate falls as you move up tiers ($0.1/page at Pro down to $0.0796/page at Corporate) — which means the plan you pick should be driven by your monthly queue, not by which features look appealing. Verify credit expiry, storage duration, and refund terms directly with the vendor before signing, since those are the terms that bite after adoption. Overall: a focused extractor with a credible no-code-plus-API story and a reporting layer most competitors in this niche skip. Better fit than generic document AI for invoice and statement workflows; evaluate against Rossum and Klippa if you are shopping the category.