Docparser runs $39 to $159 a month across three self-serve tiers, or $32.50 to $133 a month billed annually. One credit equals one document of up to five pages. That works out to roughly $0.13 to $0.39 a document. Enterprise is quote-only, with a 14-day free trial.
The unit is clean, but the price is only half the story with a rule-based parser. Here is the rest. Last updated July 2026.
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Before you build a parsing rule per layout, drop in the document you meant to test and see the fields come back with no rule at all.
Docparser costs $39 a month for 100 parsing credits, $74 for 250, or $159 for 1,000, and billing annually cuts each of those by about 20%. One credit is one document of up to five pages, so effective cost runs from about $0.13 a document on annual Business to $0.39 on monthly Starter. That is a rare thing in document AI: a clean, published unit you can budget against without a sales call. The two things the price does not tell you are worth more than the price. First, the self-serve plans stop at roughly 1,000 documents a month, so real volume pushes you into a quote. Second, Docparser is a rule-based parser, so the true cost of running it is the credit plus the time you spend building and maintaining a parsing rule for each document layout. On a handful of consistent layouts that is cheap. On a shifting mix of formats it is not.
Docparser works by parsing rules. You open a visual rule builder, mark where each field sits on a layout, and use zonal OCR and pattern matching to pull the values. Its SmartAI Parser can draft those rules from a sample to give you a head start. On a document that always looks the same, this is precise and, at $0.13 to $0.39 a document, inexpensive.
The cost lives outside the credit. Every distinct layout needs its own parser, and when a vendor changes an invoice template the rule needs revisiting. Docparser also does not classify a mixed batch of unknown document types on its own, so a stack of different forms has to be sorted before it is parsed. None of that shows up on the pricing page, and all of it shows up on your team's calendar.
The honest comparison is not credit price against credit price. It is Docparser's credit plus rule-building time against a template-free tool's per-page rate, where a new layout is read with no rule at all.
Rates change. Everything on this page was read from Docparser's own pricing page in July 2026, and we would rather you confirm it there than trust us.
Read from Docparser's own pricing page in July 2026. Annual figures are shown as the equivalent monthly cost.
| Plan or add-on | Published price | What it covers |
|---|---|---|
| Starter, monthly | $39 a month, 100 credits a month | 15 parsers, premium templates, basic integrations |
| Starter, annual | $32.50 a month, 1,200 credits a year | Same features, about 20% cheaper for the same throughput |
| Professional, monthly | $74 a month, 250 credits a month | 50 parsers, teams, smart tables, 1 free parser setup |
| Professional, annual | $61.50 a month, 3,000 credits a year | Same features billed yearly |
| Business, monthly | $159 a month, 1,000 credits a month | 500 parsers, priority support and access |
| Business, annual | $133 a month, 12,000 credits a year | The top self-serve tier before Enterprise |
| Enterprise | Quote only | Unlimited parsers, white labeling |
| Parsing Assistant add-on | $149 per layout | Docparser builds the parser for you |
Notice the annual rows quote credits per year, not per month. Business annual is 12,000 credits a year, which is the same 1,000 documents a month as monthly Business, only 20% cheaper. So annual billing is a discount on the same throughput, not a bigger allowance. Above 1,000 documents a month the published card runs out and you are into the Enterprise quote.
Published rates as of July 2026. The row that separates these tools is not the price, it is the fourth one: what it takes to read a layout you have not seen before.
| Dimension | Docparser | Azure AI Document Intelligence | AWS Textract | Google Document AI | DocuOCR |
|---|---|---|---|---|---|
| Billing unit | Per credit, 1 document up to 5 pages | Per page | Per page | Per page | Per page |
| Entry self-serve price | $39 a month, 100 credits ($32.50 annual) | Usage, no minimum | Usage, no minimum | Usage, no minimum | $49 a month, 2,500 pages |
| Effective cost per document | About $0.13 to $0.39 | About $0.01 to $0.03 per page | About $0.01 to $0.05 per page | About $0.01 to $0.03 per page | About $0.014 to $0.02 per page |
| Reads a new layout with no per-layout setup | No, build a parsing rule per layout | No, train a custom model | No, train a custom model | No, train a custom extractor | Yes, template-free |
| Self-serve ceiling | About 1,000 documents a month, then Enterprise | Unlimited | Unlimited | Unlimited | Unlimited |
On raw price the cloud APIs are cheaper per unit, but reaching structured fields on a new layout means training a model on Azure, AWS, or Google, and building a rule on Docparser. Only template-free extraction reads a layout it has not seen with no setup at all. For the full cross-vendor picture, see our OCR API pricing comparison. If your documents are consistent and you want the parser done for you, weigh the $149-per-layout Parsing Assistant against a tool that needs no layout at all.
The top of Docparser's self-serve range, set beside the per-page alternatives at the same volume.
$159
per month
1,000 credits, 1,000 documents. Structured fields from your parsing rules, no code.
$133
per month
Same 1,000 documents a month, about 20% cheaper on a yearly commitment.
~$30
per month
About $30 per 1,000 single pages, but you train and maintain a model per layout first.
$149
per month
The published 10,000-page plan, template-free, with validation, review, and export included.
The Azure figure looks lowest, but it is $30 plus a trained custom model for every layout you handle, and the retraining that follows when formats drift. Docparser trades that for a no-code rule builder at a higher per-document price, which is the right trade on a few stable layouts and the wrong one on many changing ones. The DocuOCR column reads any layout with no rule and no model, which is where the comparison stops being about price and starts being about how variable your documents are. Price your own document mix before you pick.
Azure, AWS Textract and Google Document AI per 1,000 pages, side by side.
The vendor that bills per document up to 15 pages, not per page.
The vendor that bills per block run, not per page or per document.
About $0.33 per 1,000 pages, and why output tokens are the whole bill.
What changes when extraction is template-free instead of rule-based.
How the parsing-rule model works and what it returns.
Reading fields out of PDFs without a rule per layout.
The job those parsing credits are most often spent on.
An honest roundup of the platforms for US teams.
A rate card cannot tell you how many parsers you will end up maintaining. Upload one of your documents, watch the fields come back with no rule at all, and then decide whether you want to build parsers or skip them.
