PeasyOrders vs. Docparser: extracted fields or a finished order

At a glance

Feature	PeasyOrders	Docparser
Primary purpose	Capture messy emailed B2B orders and turn them into reviewed, priced drafts for QuickBooks Online.	Extract data fields from documents of many kinds — PDFs, Word files, spreadsheets, scanned images — with parsing rules and a newer AI parser.
Reads scanned and handwritten documents	No. PeasyOrders reads the email body plus text-layer PDF and spreadsheet attachments; it does not do OCR. Unparseable attachments are kept and worked inside, side by side with the order.	Yes. A built-in OCR engine with Zonal OCR reads scanned and image-based documents, and its newer AI parser adds handwriting and checkbox recognition.
What you get back	A finished order: lines matched to your QuickBooks items, each customer's price applied with the rule shown, reviewed by a person, exported as an Estimate.	Extracted fields, exported to Excel, CSV, JSON, or XML, or routed onward through integrations.
Setup	No rules or layouts to configure. Forward the email; the draft appears for review.	A no-code builder for per-layout parsing rules using Zonal OCR and anchor keywords, plus an AI parsing layer.
Catalog matching and per-customer pricing	Yes. Lines match against your QuickBooks items, and a pricing engine proposes each customer's price from your past invoices — you accept before it applies.	Not its job. Docparser extracts the fields; catalog and pricing work happens in whatever you connect downstream.
QuickBooks	QuickBooks Online native. Reviewed orders export as Estimates by default (configurable).	Extracted fields route onward through integrations such as Zapier, Make, Power Automate, and Salesforce, or via webhooks and its REST API.
How you buy it	Self-serve at a published price — plans at $99, $199, and $349 per month by confirmed order volume, with a 30-day money-back guarantee.	Starter at $39/month (100 credits), Professional at $74 (250), Business at $159 (1,000), Enterprise custom; roughly 20% cheaper billed annually; 1 credit = 1 document up to 5 pages; a 14-day free trial, with no permanent free plan.

The honest comparison

Docparser and PeasyOrders both pull order data out of documents, and on raw reading ability, Docparser covers more: its built-in OCR engine reads scanned and image-based documents, and its newer AI parser adds handwriting recognition — none of which PeasyOrders does. What PeasyOrders delivers is the other end of the job: a reviewed, catalog-matched, per-customer-priced order in QuickBooks Online, for small and mid-sized US wholesale distributors.

That concession is real, so it goes first. Docparser extracts data from PDFs, Word files, spreadsheets, and scanned images using Zonal OCR, anchor keywords, and a no-code builder for per-layout parsing rules, plus a newer AI layer. PeasyOrders reads the email body plus text-layer PDF and spreadsheet attachments only — it does not OCR anything. When an attachment can't be parsed, PeasyOrders keeps it and shows it side by side so your operator can work the order inside the system, but the reading is on the person.

docparser.com

The difference is what each hands you at the end. Docparser's output is fields — exported to Excel, CSV, JSON, or XML, or routed onward through Zapier, Make, Power Automate, Salesforce, webhooks, or its REST API, into whatever you've built downstream. Fields aren't yet an order: "bronze frames, 10" still has to become the right item in your QuickBooks catalog at this customer's price, checked by someone who can catch the line that's wrong.

PeasyOrders is that downstream, as a product. It captures the messy orders your buyers send by email — the body plus PDF and spreadsheet attachments — and turns them into reviewed, catalog-matched, per-customer-priced drafts that export to QuickBooks Online as Estimates. Phone orders are added in one click as manual entries into the same queue. That's the whole product, on purpose.

Where Docparser is the right call

Docparser is a capable extraction tool, and it's worth being clear where it wins.

• Scanned and image documents. Scanned order sheets and POs, photographed forms — the built-in OCR engine reads them, and the AI parser adds handwriting. PeasyOrders can't read any of those.
• Many document types. Supplier invoices, bank statements, price lists, HR forms — one tool covers extraction jobs an order tool won't touch.
• Recurring, consistent layouts. Zonal OCR with anchor keywords is precise on documents that arrive in the same shape every time.
• Your own pipeline. No-code rules, broad integrations, webhooks, and a REST API make it a flexible building block inside a workflow you control.

One honest caution: for order capture, extraction is step one of several. Budget for the downstream — catalog lookup, per-customer pricing, a checking step, and the route into QuickBooks — because that's where the order actually gets made.

The same order, two ways

A plumbing contractor you supply emails: "Usual restock, but bump the half-inch copper elbows to six boxes and add two of the new pressure-balance valves — need it Wednesday," with their marked-up PDF order form attached.

In Docparser, the PDF parses if a rule or the AI parser handles its layout, and the fields land in a spreadsheet or flow through Zapier toward the systems you've wired. The free-text email body and "the usual" are outside the document-parsing frame — a person reads and keys those — and the extracted fields still need matching and pricing downstream.

In PeasyOrders, the same email becomes a draft in your review queue. Because this account's shorthand has been confirmed on earlier orders, "the usual restock" resolves to the right items; the elbows — half-inch, not the three-quarter the account also buys — and the valves match against your QuickBooks items; the contractor's pricing is applied with the rule that set it shown on each line; and every value links back to the part of the email or attachment it came from. Anything unclear is flagged rather than guessed. You confirm, and the order lands in QuickBooks Online as an Estimate.

If that same order arrived as a scanned image instead, the honest picture flips at the reading step: Docparser could OCR it; PeasyOrders would keep the attachment and show it side by side for your operator to enter — priced, reviewed, and exported like any other order, but read by a person.

Docparser

Document data extraction

• PDF & spreadsheet parsing
• OCR for scans & images
• Handwriting (AI parser)
• Per-layout parsing rules
• Exports, webhooks, REST API

vs

PeasyOrders

One job: order capture

Email in

You review

QuickBooks Online

When PeasyOrders is the better fit

PeasyOrders is built for small and mid-sized US wholesale distributors on QuickBooks Online whose customers send orders written in their own words. If a typical week includes re-typing line items from emailed orders and attached PDFs or spreadsheets into QuickBooks, that's the job it exists to remove.

• An order, not fields. Extraction, catalog matching, per-customer pricing, and review happen in one place, and what exports is a confirmed order.
• The pricing QuickBooks can't do. QuickBooks Online doesn't expose per-customer pricing to integrations, so PeasyOrders acts as the pricing engine: on setup it reads your past invoices once and proposes each customer's price, which you accept, adjust, or discard before it applies.
• Review you can trust. Every draft is confirmed by a person before it exports, with the source of every value visible per line, and unresolved lines block confirmation instead of slipping through.
• QuickBooks Online native. Reviewed orders export as Estimates by default — no middleware — and Google Sheets and CSV are also supported.
• Self-serve at a published price. Plans at $99, $199, and $349 per month by confirmed order volume, annual billing gets two months free, and every plan carries a 30-day money-back guarantee.

A pragmatic conclusion

Docparser reads more formats than PeasyOrders — scans, images, handwriting — and extracts fields from many kinds of documents, which makes it the right tool when extraction itself is the job. PeasyOrders finishes a different job: the emailed order, carried all the way to a reviewed, per-customer-priced Estimate in QuickBooks Online. If your inbound orders are scanned documents, Docparser can read them and PeasyOrders can't. If they're emails with text-layer PDFs and spreadsheets attached, and the goal is the order in QuickBooks without the retyping, that's PeasyOrders.

When to choose PeasyOrders

• Your orders arrive as free-form emails with PDF or spreadsheet attachments, and what you need at the end is an order in QuickBooks — not fields to assemble into one.
• You run on QuickBooks Online and want reviewed orders to land as Estimates with each customer's pricing already applied — the per-customer pricing QuickBooks Online's API doesn't expose to any integration.
• You don't want to configure parsing layouts or wire middleware between extracted fields and your books.
• "The usual" is a real thing your customers write, and you want it resolved from each account's confirmed history.

When to choose Docparser

• Your documents include scans, photos, or handwriting: Docparser's OCR reads formats PeasyOrders doesn't.
• You extract data from many document types — supplier invoices, statements, forms, price lists — not just orders.
• You're building your own pipeline and want a flexible extraction block with broad integrations and an API.
• Your documents arrive in recurring, consistent layouts that parsing rules handle precisely.