AWS Textract is a powerful OCR API, and its AnalyzeExpense endpoint reads receipts and invoices well. It is also developer infrastructure: you need an AWS account, IAM permissions, the SDK, and code to turn its JSON into a spreadsheet, because Textract has no upload screen and no Excel export. ReceiptOCR does the same extraction as a tool you use in a browser. Upload a receipt or invoice, review every field, and download Excel, CSV, or a QuickBooks-ready file, with a REST API available when you want it. If you are building capture into your own product at scale, Textract is a fine primitive. If you want the data in a sheet today, upload a document below.
Upload your receipts and invoices
Drop files here or click to upload
Up to 50 files
Uploading...
AnalyzeExpense is accurate and purpose-built for receipts and invoices. The friction is everything around it: Textract is an API meant to be wired into an application, so a person who just wants receipts in Excel has to build the application first.
Before the first receipt is read, there is an AWS account, IAM roles and policies, and usually an S3 bucket to hold the input. That is standard for a developer and a wall for a bookkeeper or an office manager who just has a folder of receipts.
AnalyzeExpense returns SummaryFields and LineItemGroups as JSON. There is no CSV or Excel download and no QuickBooks file. Someone has to write code to flatten that JSON into rows before it is a spreadsheet you can use.
Textract has no interface. You cannot glance at the extracted total and fix it before it lands, so error handling is code you build, not a review step you click through.
AnalyzeExpense is free for 100 pages a month, but only for the first three months. After that every page bills at one cent for the first million, so a trial that felt free turns into a metered line item you monitor.
ReceiptOCR reads receipts and invoices with AI, shows you every field, and exports a spreadsheet. There is no cloud account to provision and no parsing code to write, and when you do want to integrate, the REST API is there.
Drag in a receipt, an invoice, or a batch of them. No AWS console, no IAM policy, no S3 bucket, and no SDK to install before you see a result.
Download the spreadsheet directly or export a QuickBooks-ready file. Developers can still take the same fields as JSON over the API, so you are not forced to write parsing code to get rows.
Every field is on screen and editable. Catch a misread total or date before it becomes a row, which is the safeguard a headless API cannot give you.
Vendor, date, tax, subtotal, and total, plus each line item, the same structure AnalyzeExpense returns, delivered as a sheet instead of a payload.
Priced in US dollars, pay-as-you-go, with no per-seat fee and no cloud metering to watch. Buy it and use it the same session.
If you do want to embed extraction, the API returns the same fields as JSON, without standing up IAM and S3 to call it.
What takes an AWS project and parsing code with Textract takes three clicks here.
A single receipt or a month of invoices, PDFs, scans, and phone photos in the same batch. No bucket to stage them in first.
Tip: Include a faded thermal receipt. It is the honest test of any expense OCR, Textract included.
Review vendor, date, tax, total, and every line item on screen, and fix anything flagged before it becomes a row.
Download Excel, CSV, or a QuickBooks-ready file, or call the REST API for the same fields as JSON.
AnalyzeExpense is built for engineers embedding extraction. These are the people who need the same result without becoming one.
Client receipts to turn into a ledger, not an AWS project to run. The value is a clean sheet, not a JSON payload.
Vendor invoices captured into rows that post to accounting, without an engineer between the bill and the export.
A few hundred documents a month and no developer on staff to build the pipeline Textract expects you to have.
An endpoint that returns clean fields as JSON without provisioning IAM, S3, and the async job flow first.
Last updated July 2026.
AWS Textract is one of the strongest OCR engines available, and its AnalyzeExpense API is genuinely good at reading receipts and invoices. So this is not a page that pretends Textract is bad. It is a page for the person who evaluated Textract, saw that it returns JSON from an API you have to build around, and asked whether there is a way to get the same receipt and invoice data without standing up an AWS project. There is, and this compares the two honestly.
AnalyzeExpense is the Textract API built specifically for receipts and invoices. Given a document, it returns SummaryFields such as vendor, total, tax, and date, and LineItemGroups that break out each line on the receipt. It is accurate, it handles both receipts and invoices, and it is delivered the way all of Textract is delivered: as a cloud API you call from code, with the result coming back as a JSON structure. There is no web app, no upload page, and no spreadsheet at the end.
For AnalyzeExpense in US regions, Textract charges one cent per page for the first million pages a month, and eight tenths of a cent per page above that. The free tier is 100 pages a month, and only for the first three months after you start. Everything below appeared on the AWS Textract pricing page in July 2026; confirm on aws.amazon.com before you budget, since per-region pricing and tiers can change.
| Textract AnalyzeExpense | Price (US regions, July 2026) |
|---|---|
| Free tier | 100 pages per month, first 3 months only |
| First 1M pages per month | $0.01 per page |
| Over 1M pages per month | $0.008 per page |
The per-page rate is low, and for a high-volume engineering team that is exactly the appeal. The cost that does not show up in the table is the build: the account, the IAM policies, the S3 input, the async job handling for multi-page documents, and the code that turns JSON into rows. For a team that already has AWS expertise, that is routine. For everyone else, it is the real price.
No. Textract returns JSON only. AnalyzeExpense gives you SummaryFields and LineItemGroups as a structured payload, and getting that into Excel or CSV is code you write or a sample script you adapt. There is no download button and no QuickBooks-ready file. If your goal is a spreadsheet rather than an integration, that gap is the whole difference, and it is why a tool with a built-in export exists alongside the raw API.
Effectively, yes. Textract has no user interface. You interact with it through the AWS SDK or CLI, authenticated with IAM, usually reading documents from S3, and you parse the JSON yourself. A developer can wire that up quickly. A bookkeeper, an office manager, or a founder without engineering help cannot use Textract directly, which is the single most common reason people look for an alternative that runs in a browser.
Textract is infrastructure; ReceiptOCR is a tool. They read the same documents and hand back the same kinds of fields. The difference is who has to build the parts around the extraction.
| Capability | AWS Textract | ReceiptOCR |
|---|---|---|
| How you use it | API, called from code | Browser upload, plus an API |
| Setup before first result | AWS account, IAM, S3, SDK | Open the page, upload |
| Output | JSON only | Excel, CSV, JSON, QuickBooks |
| Review a field before export | No interface | On-screen review |
| Receipts and invoices | Yes, AnalyzeExpense | Yes |
| Line items | Yes | Yes |
| Best fit | Engineers embedding capture at scale | Teams that want the data in a sheet |
Choose Textract when extraction is one component of software you are building. If you have engineers, you are already on AWS, you are processing documents at high volume inside an application, and you want the lowest possible per-page rate with full control over the pipeline, Textract is an excellent primitive and the per-page economics are hard to beat. Its accuracy on receipts and invoices through AnalyzeExpense is real, and pairing it with the rest of AWS is a genuine advantage for an engineering-led team.
Choose a browser-based tool when you want the receipt and invoice data itself, not a pipeline to produce it. For expenses, receipt OCR software reads them in a browser and the receipt to Excel converter lands them in a sheet. For vendor bills, invoice OCR software pulls header fields and line items. Developers who want a simpler call than AnalyzeExpense can use the receipt OCR API for the same fields as JSON, and the intelligent document processing overview maps where both approaches fit. If you are weighing other engines too, the Google Document AI alternative and Azure Document Intelligence alternative cover the other big cloud options, and Google Vision OCR explains the cheaper raw-text tier beneath them.
The AnalyzeExpense API, which reads receipts and invoices, costs $0.01 per page for the first million pages a month in US regions and $0.008 per page above that, as listed on the AWS Textract pricing page in July 2026. The free tier is 100 pages a month for the first three months only. The per-page rate is low; the hidden cost is the AWS setup and the code to use it.
No. Textract returns JSON only. AnalyzeExpense hands back SummaryFields and LineItemGroups as a structured payload, and turning that into Excel or CSV is code you write or a sample script you adapt. There is no download button and no QuickBooks file, which is the main gap if your goal is a spreadsheet rather than an integration.
Yes. Textract requires an AWS account, IAM permissions, and usually an S3 bucket for input, and you call it from the SDK or CLI. It has no user interface, so a non-developer cannot use it directly. A browser-based alternative removes the account, the IAM setup, and the parsing code.
A tool that does the same receipt and invoice extraction but runs in a browser and exports a spreadsheet. ReceiptOCR reads unfamiliar receipt and invoice layouts, shows every field for review, exports Excel, CSV, JSON, or a QuickBooks-ready file, and offers a REST API when you want to integrate, all without an AWS account.
Yes. AnalyzeExpense is purpose-built for receipts and invoices and is one of the more accurate cloud OCR options, returning vendor, total, tax, date, and line items. Accuracy still drops on faded thermal paper and poor scans, as it does with any OCR, which is why a review step before export is valuable regardless of the engine.
Use Textract when you are an engineering team embedding extraction into your own application at high volume, already on AWS, and you want the lowest per-page rate with full pipeline control. Use a browser-based tool when you want the data in a spreadsheet today without building and maintaining that pipeline.
A simpler call than AnalyzeExpense, same fields as JSON.
The other big cloud OCR API, compared.
Turn a pile of receipts into a clean spreadsheet.
Read vendor bills into header fields and line items.
OCR tuned to read receipts into fields.
What the IDP category includes, and which parts you need.
