Mindee is a developer-first extraction API. You call an endpoint with a document and get JSON back, which is ideal when you are building an integration and less useful when you just want receipts in a spreadsheet today. ReceiptOCR reads the same documents in a browser, shows every field for review, and exports Excel, CSV, or JSON, and it exposes a REST API when you do want to build. If your team writes code and needs custom models, Mindee is strong. If a bookkeeper needs the data now, upload a receipt below.
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Mindee is well engineered and genuinely good at what it does. The friction is who it is for. It assumes a developer on the other end, a monthly credit commitment, and an annual-billing decision before the first useful export. For a finance team, that is three obstacles between the document and the spreadsheet.
Mindee is the API. There is no review-and-export screen for a non-developer, so a bookkeeper or ops person cannot open it, drop in a stack of receipts, and download a sheet. Someone has to build that layer first.
The plans on the pricing page, Starter at $44 a month and Pro at $116 a month, are the billed-annually figures. A clean month-to-month rate is not clearly published, so the headline price already assumes a year.
Paid plans start at 6,000 credits a month, and one credit is one page. If you process a few hundred documents in a slow month, you still bought the block. Pay-as-you-go this is not.
Custom model training, confidence polygons, RAG utilities, and chaining are real strengths for an engineering team embedding extraction at scale. For someone who needs vendor, date, tax, and total in Excel, they are features to pay for and never open.
ReceiptOCR gives a non-developer the output Mindee returns as JSON, in a browser, with a review step, and still hands a developer a REST API when they want one. Nobody has to build the front end first.
Drop in receipts or invoices and get a spreadsheet back. No SDK to install, no endpoint to call, no client to write before the first result lands.
Every extracted field is on screen and editable before the file leaves. An API returns a confidence score; a person still has to act on it, and here that step is built in.
Pay for the documents you actually process. A slow month costs less, not the same, because there is no 6,000-credit floor to buy whether you use it or not.
When you do build an integration, the same fields come back as JSON over a REST endpoint. You get the developer path without being forced onto it from day one.
Vendor, date, invoice number, subtotal, tax, and total, plus each line with description, quantity, and unit price where the document carries them.
Land the data in a spreadsheet, feed it to an application as JSON, or take a QuickBooks-ready file to close the books.
From a document to a spreadsheet without writing a single line of integration code.
A single receipt or a whole month of invoices. PDFs, scans, and phone photos all go in the same batch, and mixing vendors is fine.
Tip: Include a multi-page invoice. Credit-per-page pricing punishes long documents, and this is where the cost math between tools diverges.
Review vendor, date, tax, total, and every line item on screen. Correct anything the engine flagged before it becomes a row in your books.
Download Excel, CSV, or a QuickBooks-ready file, or call the REST API and receive the same fields as JSON inside your own workflow.
Built for US teams that need extracted document data in a spreadsheet, whether or not they have an engineer to call an endpoint.
Client receipts have to become a clean sheet this week, not after a developer wires up an API. A browser upload with a review step is the whole job.
Supplier invoices in dozens of layouts, headed for a ledger. The value is the fields, not the endpoint, and nobody in AP writes the client.
You will build eventually, but you want to validate the extraction by hand first and only reach for the API when the workflow is proven.
A few hundred documents a month and no monthly credit block worth committing to. Pay for what you process and skip the platform overhead.
Last updated July 2026.
Mindee is a developer-first OCR and document data extraction API. You send a document to an endpoint and receive structured JSON, using prebuilt models for invoices, receipts, and IDs, or a custom model you train. It is a capable platform. The question this page answers is whether you actually need an API, or whether you need the data an API would give you, in a spreadsheet, without building anything first.
Mindee is the API, not an application with a review screen. You authenticate, post a document, and parse the JSON response in your own code. The models are AI based rather than template based, so they read layouts they have not seen, and Mindee offers custom model training for document types its prebuilt models do not cover. For an engineering team embedding extraction into a product, that is exactly the right shape. For a finance team, the shape is the problem: there is no place to simply drop in a folder of receipts and download an Excel file.
Everything in this table appeared on the Mindee pricing page in July 2026. Confirm on mindee.com before you buy, because prices in this category move. The figures shown are the billed-annually rates, and one credit equals one page submitted to the API, regardless of document type.
| Mindee plan | Price (billed annually) | Included credits |
|---|---|---|
| Starter | $44 per month ($529 per year) | From 6,000 credits per month |
| Pro | $116 per month ($1,393 per year) | From 6,000 credits per month |
| Enterprise | Custom, annual contract | Volume, referenced from 500,000+ credits |
Two details decide your real cost. First, the paid tiers start at 6,000 credits a month, a commitment you pay whether or not you use it. Second, a separate month-to-month rate is not clearly published, so the $44 and $116 figures assume you have committed to a year. Overage beyond your credits is listed starting from $0.05 per credit. Before comparing Mindee with anything else, convert it to cost per document at your real monthly volume, not at the plan headline.
A credit is one page. Mindee states that the number of credits is determined by the total number of physical pages submitted to the API, regardless of document type or file format. A one-page receipt is one credit. A four-page invoice is four credits. This is the same page-based model Google Document AI and AWS Textract use, and it is why a stack of long documents costs more than a page count of short ones would suggest.
Mindee offers a 14-day free trial through signup rather than a permanent free plan. The exact number of trial credits is not published on the pricing page, so treat the trial as time-limited evaluation, not an ongoing free allowance. If a permanent free allotment matters to you, confirm the current terms on mindee.com, because trial structures in this market change often.
Not really, and that is by design rather than a shortcoming. Mindee is an API product; its users are expected to write code that calls the endpoint and handles the JSON. There is no upload-and-download workflow for someone in accounting. If your team has engineers and wants to embed extraction into an application, that focus is a strength. If the person who needs the data is a bookkeeper, an office manager, or a founder doing their own books, the API is a wall, not a door.
These tools overlap on the extraction itself and diverge on who is meant to operate them. Neither wins everywhere, and any page claiming otherwise is selling.
| Capability | Mindee | ReceiptOCR |
|---|---|---|
| How you use it | Call the API from your own code | Upload in a browser, or call the API |
| Review before export | You build it | Built in |
| Pricing unit | Credits, 1 per page, monthly block | Flat, by document volume |
| Custom model training | Yes, a core strength | No, prebuilt for receipts and invoices |
| Confidence scores and polygons | Yes, exposed in the API | Fields shown for human review |
| QuickBooks-ready export | Build it from the JSON | Yes, a direct file |
| Who operates it | Developers | Anyone, plus developers via the API |
Choose Mindee when you are building. If you have an engineering team embedding document extraction into your own product, need custom models for document types nobody prebuilds, and want confidence scores and bounding boxes to drive your own review interface, Mindee is a deeper and more flexible platform than a review-and-export tool. Its SDKs and libraries are mature, and at real scale inside an application it is a serious option. We are not going to pretend otherwise.
Choose it, too, when the extraction is one component of a larger system you already own. If you have built the ingestion, the queueing, and the human review, and you just want a clean model behind an endpoint, an API-first vendor fits that architecture better than a full application would.
If nobody on the team wants to write a client, the API is the part you can skip. For expense receipts, receipt OCR software reads them in a browser and the receipt to Excel converter lands them in a spreadsheet. For vendor bills, invoice OCR software handles header fields and line items. When you do want to build, the receipt OCR API and invoice OCR API return the same fields as JSON. Large batches run through the bulk receipt scanner. If you are weighing several API vendors, the Veryfi alternative and Nanonets alternative pages cover monthly minimums and prepaid credits, and the intelligent document processing overview maps the whole category.
As of July 2026 Mindee lists Starter at $44 a month and Pro at $116 a month, both billed annually and both starting at 6,000 credits a month, with Enterprise by quote. One credit is one page. A clear month-to-month rate is not published, and overage is listed from $0.05 per credit. Convert it to cost per document at your real volume before comparing.
A credit is one page. Mindee states that credits are determined by the total number of physical pages submitted to the API, regardless of document type or file format. A one-page receipt is one credit and a four-page invoice is four, so long documents consume credits faster than a document count suggests.
Mindee offers a 14-day free trial through signup rather than a permanent free plan. The exact trial credit count is not published on the pricing page, so treat it as time-limited evaluation. If you need an ongoing free allowance, confirm the current terms on mindee.com.
Not really. Mindee is an API product, so using it means writing code that calls the endpoint and handles the JSON response. There is no upload-and-download screen for someone in accounting. If your team has engineers, that focus is a strength; if the person who needs the data does not code, it is a barrier.
A tool with a browser workflow and a review step, so the person who needs the spreadsheet can produce it without an engineer. ReceiptOCR reads receipts and invoices in the browser, shows every field for correction, and exports Excel, CSV, or a QuickBooks-ready file, while still offering a REST API for when you want to build.
Yes, and it is one of its real strengths. Mindee lets you train custom models for document types its prebuilt models do not cover, alongside confidence scores and bounding polygons. If custom model training is central to your project, Mindee is a stronger fit than a prebuilt receipt and invoice engine.
Mindee is a developer API you integrate into your own code, with custom models and confidence data. ReceiptOCR is an application anyone can use in a browser, with review before export and a REST API available when needed. Choose Mindee to build extraction into a product; choose ReceiptOCR to get receipt and invoice data into a spreadsheet now.
The same extracted fields as structured JSON.
The real-time API with a monthly minimum, compared.
The prepaid-credit model-training platform, compared.
Read receipts into Excel and CSV in the browser.
Read vendor bills into header fields and line items.
What the IDP category includes, and which parts you need.
