Taggun is a receipt OCR API. You post a document to an endpoint with an API key and get JSON back with a confidence score on every field, which is exactly right when you are building a product and useless when you just need this month's receipts in a spreadsheet. Taggun publishes no CSV or Excel export and no upload screen, so someone has to build the front end first. ReceiptOCR reads the same receipts in a browser, shows every field for review, and exports Excel, CSV, or JSON, with a REST API when you want to build. Upload a receipt below and compare.
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Taggun is a focused, well-priced receipt OCR engine, and the extraction itself is genuinely good. The gap is everything around it. It ships an endpoint and an API key, and it assumes you will build the upload screen, the review step, and the export yourself.
Taggun's own site documents a JSON response and nothing else. There is no CSV download, no Excel export, and no QuickBooks file. If the deliverable is a spreadsheet, that conversion is code you write and maintain.
You receive an API key and code samples. No end-user dashboard for uploading a stack of receipts is documented, so a bookkeeper cannot open Taggun and produce a sheet. A developer has to build that layer before anyone else can use it.
Plans start at $28 a month for 500 scans and step up to $99 for 1,800 and $399 for 8,000. You buy the block whether or not you use it, and going over costs $0.04 to $0.06 per extra scan depending on the tier.
Taggun markets line item OCR, but its developer docs list product line item extraction under advanced features rather than as standard on every plan. If you need the line detail, confirm on taggun.io that your tier includes it before you commit.
ReceiptOCR gives you what Taggun returns as JSON, except a person can operate it. Upload in a browser, correct anything the engine got wrong, and download Excel or CSV. The REST API is still there when you decide to build.
Download the extracted receipts as a spreadsheet, a CSV, or a QuickBooks-ready file. No parsing code stands between the receipt and the row in your books.
Drop in a receipt or a whole month of them. No API key to provision, no SDK to install, no client to write before the first result appears.
A confidence score tells you a field might be wrong. It does not fix it. Here every field is on screen and editable before the data leaves.
Pay for the documents you actually process. A quiet month costs less instead of costing the same 500-scan minimum you already bought.
Vendor, date, subtotal, tax, and total, plus each line with description, quantity, and unit price where the receipt carries them. Not a tier upgrade.
The same fields come back as JSON over a REST endpoint. You get the developer path without being forced onto it on day one.
From a pile of receipts to a spreadsheet without writing a line of integration code.
One receipt or a whole month. Photos, scans, and PDFs all go in the same batch, and mixing merchants is fine because nothing here is template based.
Tip: Throw in a crumpled thermal receipt. That is where receipt engines actually differ, and it is the honest way to compare two of them.
Review merchant, 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 receipt data in a spreadsheet, whether or not anyone on staff can call an API.
Client receipts have to become a clean sheet this week. An API key and a JSON sample do not get you there; a browser upload and an Excel download do.
A few hundred receipts a month and nobody to build an integration. A 500-scan monthly block is a commitment you should not have to make.
You may build eventually, but you want to validate the extraction by hand first and reach for the API only once the workflow is proven.
Employee receipts headed for a reimbursement run. The value is the fields in a sheet, not a confidence score in a payload nobody reads.
Last updated July 2026.
Taggun is a receipt OCR API. You send it a receipt and it returns JSON with the merchant, date, total, tax, and a confidence score on each field. It is fast, it is cheap per scan, and it is aimed squarely at developers. This page answers the question that actually decides your tooling: do you need an API, or do you need the data an API would give you, in a spreadsheet, without building anything first?
Taggun is the API, not an application. You request an API key, post a file to an endpoint such as the simple receipt endpoint, and parse the JSON response in your own code. It accepts PDF, JPG, PNG, GIF, and HEIC files up to 20 MB, covers receipts and invoices across more than 50 countries, and returns each field with a confidence level, so you can decide in code which results to trust and which to route to a human. For an engineering team embedding receipt capture into an expense app, that is the right shape. For a finance team, the shape is the problem: there is no place to drop in a folder of receipts and download an Excel file.
These figures appeared on the Taggun pricing page in July 2026. Confirm on taggun.io before you buy, because prices in this category move. Billing is a monthly subscription with an included scan allowance and a per-scan overage rate, where one scan is one document.
| Taggun plan | Price per month | Included scans | Overage per scan |
|---|---|---|---|
| Developer | $28 | 500 | $0.060 |
| Startup | $99 | 1,800 | $0.055 |
| Business | $399 | 8,000 | $0.050 |
| Advanced | $799 | 20,000 | $0.040 |
| Enterprise | Contact sales | Custom | Custom |
The per-scan math is what matters. On the Developer plan, $28 for 500 scans is $0.056 a scan if you use every one of them, and considerably more if you do not. That is the trap in every block-based plan: the effective price rises the less you use. Work out your cost per document at your real monthly volume, not at the plan headline, before you compare Taggun with anything else. And remember the JSON has to become a spreadsheet somehow, so add the cost of the code that does it.
Taggun offers a 30-day free trial with access to a plan before billing starts. A permanent free tier is not published on its pricing page, so treat the trial as time-limited evaluation rather than an ongoing free allowance. If a standing free allotment matters to you, confirm the current terms on taggun.io, because trial structures in this market change often.
No. Taggun returns JSON, and no CSV or Excel export is documented anywhere on its own site. This is the single most important thing to understand before choosing it. If your goal is a spreadsheet, you are not buying a finished workflow, you are buying an extraction engine plus a development project: someone has to write the code that turns the JSON into rows, handle the errors, and build somewhere for a human to fix a misread total. Taggun does offer a Make.com app, which is the one no-code path, but that means learning and paying for a second tool to bridge the gap.
Taggun markets line item OCR on its site, and its developer documentation lists product line item extraction among advanced features rather than as a standard capability of every plan. If individual line detail is what you need, and not just merchant, date, and total, confirm on taggun.io which tier includes it and whether it carries an extra charge. We are not going to guess at a number the vendor does not publish.
Not really, and that is by design rather than a flaw. Taggun is an API product. Its users are expected to write code that calls the endpoint and handles the response, and its own onboarding sends you an API key and code samples in Node, PHP, C#, and Python. There is no upload-and-download workflow for someone in accounting. If your team has engineers building a receipt feature into an app, 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 rather than a door.
These tools overlap on the extraction and diverge on who is meant to operate them. Neither wins everywhere, and any page telling you otherwise is selling.
| Capability | Taggun | ReceiptOCR |
|---|---|---|
| How you use it | Call the API from your own code | Upload in a browser, or call the API |
| Excel or CSV export | No, JSON only | Yes, Excel, CSV, and QuickBooks |
| Review before export | You build it | Built in |
| Pricing unit | Monthly scan block plus overage | By document volume, no block |
| Per-field confidence scores | Yes, a real strength | Fields shown for human review |
| Line items | Listed as an advanced feature | Standard |
| Who operates it | Developers | Anyone, plus developers via the API |
Choose Taggun when you are building software. If you are putting receipt capture inside your own expense app, loyalty program, or cashback product, and you want a cheap, fast, receipt-specialized engine behind an endpoint, Taggun is a strong and sensibly priced option. The per-field confidence scores are genuinely useful for routing low-confidence results to a human queue you have already built, and at volume the per-scan rates on the higher tiers are hard to beat. We are not going to pretend otherwise.
Choose it, too, when the extraction is one component of a system you already own. If you have the upload screen, the storage, and the review interface, and you only need a good model behind an API, 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. Large batches run through the bulk receipt scanner, and books that live in QuickBooks are served by scanning receipts into QuickBooks. 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. If you are comparing several API vendors, the Veryfi alternative, Mindee alternative, and AWS Textract alternative pages cover monthly minimums and per-page billing, and the intelligent document processing overview maps the whole category.
As of July 2026 Taggun lists Developer at $28 a month for 500 scans, Startup at $99 for 1,800, Business at $399 for 8,000, and Advanced at $799 for 20,000, with Enterprise by quote. Overage runs from $0.060 down to $0.040 per scan. On the Developer plan that is about $0.056 per scan if you use the full allowance, and more if you do not.
No. Taggun returns JSON and documents no CSV or Excel export on its own site. If you want a spreadsheet, you write the code that turns the JSON into rows, or you bridge it through a tool like Make. That is the main gap when the deliverable is a sheet rather than an integration.
Taggun offers a 30-day free trial with plan access before billing begins. A permanent free tier is not published on its pricing page, so treat the trial as time-limited evaluation rather than an ongoing free allowance. Confirm the current terms on taggun.io, since trial structures change often.
Taggun markets line item OCR, and its developer docs list product line item extraction among advanced features rather than as standard on every plan. If line detail matters to you, confirm on taggun.io which tier includes it and whether it costs extra before committing.
Not really. Taggun is an API product, so using it means writing code that calls the endpoint and handles the JSON. No end-user upload screen is documented, so a bookkeeper cannot open it and produce a spreadsheet. If your team has engineers, that focus is a strength; if it does not, 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.
Taggun is a receipt OCR API you integrate into your own code, returning JSON with per-field confidence scores. ReceiptOCR is an application anyone can use in a browser, with review before export and Excel, CSV, and QuickBooks output, plus a REST API when needed. Choose Taggun to build receipt capture into a product; choose ReceiptOCR to get the data into a spreadsheet now.
The same extracted fields as structured JSON.
The real-time API with a monthly minimum, compared.
The developer API, made usable without code.
Read receipts into Excel and CSV in the browser.
Turn a pile of receipts into a clean spreadsheet.
What the IDP category includes, and which parts you need.
