PerfectParser Pricing 2026

One OCR API over nine hosted models — typed blocks, markdown, and schema extraction with citations

Pricing: Prepaid credits with per-page rates published per model and $10 of free credits at signup, no subscription tier. The cheapest engine, PaddleOCR-VL 1.6, is $1 per 1,000 pages; Azure DI Read is $1.73; Mistral OCR 3 is $2.30; Mistral OCR 4 is $4.60; Azure DI Layout is $11.50. Parse meters pages at the retail rate of whichever ocr_model the request names, and option surcharges are published live on GET /models/ocr. The /extract endpoint adds LLM token costs billed at the rate of the llm_model selected, on top of the page rate. Prices are in US dollars.

Bank statement PDF to CSV, Excel and QBO with OCR for scans, confidence scoring and side-by-side verification against the source

Pricing: Free: USD 0 forever with no credit card, 10 free pages with no expiry, any bank with no templates, CSV, Excel and QBO export, verification against the original PDF, and the ability to buy credit packs at any time. The no-signup demo allows 6 free pages every day on documents up to 6 pages and 10 MB. Starter is USD 24 per month or USD 290 billed yearly (advertised as saving USD 58): 150 pages every month, 3 workspace members, priority over free-tier processing and email support. Firm is USD 66 per month or USD 790 billed yearly (advertised as saving USD 158): 600 pages every month, 10 workspace members, batch scan and export across statements, and priority processing and support.

Document and email parser with four engines (AI, GPT, template, OCR) exporting to Sheets, CRMs, databases and webhooks.

Pricing: Free forever tier with 30 parsing credits per month. Paid tiers are billed annually: Starter from $24/mo ($290/year) for 100–1,000 credits, Growth from $124/mo ($1,490/year) for 5,000 credits, Business from $249/mo ($2,990/year) for 12,000 credits with volume options to 100k. All four parser engines, unlimited team members and priority support are included on every paid tier.

Layout-aware document parsing that turns PDFs and images into RAG-ready structured data, pay-per-accurate-result credits from about $1 per 1,000 pages

Pricing: Credit-based and consumption-metered rather than tiered: the site's own words are pay only for what you use, and only for accurate results. A 7-day free trial grants $10 worth of credits (5,000 credits) to test against your own documents, and the first 30 users are offered a 20% lifetime discount on their plan. A pay-as-you-go pack starts at 6,000 one-time credits, with the parsed dataset retained for one month; metered billing is offered for enterprise-scale consumption. The vendor's published comparison table puts its own rate at approximately $1 per 1,000 pages, against $4–30 per 1,000 for Claude, $2–30 for unstructured.io and $1–20 for LlamaParse. A 30-day unconditional full refund is offered, processed within 24 hours of contacting support.

Model built for OCR, extraction and other deterministic tasks, with infrastructure bundled into token pricing

Pricing: Token-based with no minimums, seat fees or infrastructure add-ons: $1.50 per million input tokens and $3.50 per million output tokens. Sandbox, browser engine and caching are included and converted into tokens rather than billed separately. Published estimates: ~$0.002–$0.004 to OCR a page, ~$0.016 per ID or invoice extraction, ~$0.006 per minute of audio transcription, ~$0.03–$0.08 per scraped page, ~$0.006 per classification. 50 requests/second standard. Enterprise adds volume discounts, unlimited rate limits, SLAs, self-hosted/VPC deployment and SOC 2 / HIPAA compliance agreements.