If you tried Amazon Textract for invoices but really want the data in a spreadsheet, InvoicesOCR is the simpler fit. It reads any PDF or scanned invoice with AI and returns the vendor, dates, totals, and every line item as a clean Excel or CSV file in seconds. There is no AWS account to set up, no SDK or code to write, and no JSON to parse. Upload an invoice below and see the line-item data right away.
Upload your receipts and invoices
Drop files here or click to upload
Up to 50 files
Free to try, no account needed to start
Uploading...
Amazon Textract is a managed OCR and document AI service on AWS. For invoices and receipts it offers the AnalyzeExpense API, which reads dozens of normalized fields plus line items and returns them as structured JSON. It is a strong, accurate building block, and that is exactly the point: Textract gives developers raw extracted fields, bounding boxes, and confidence scores to build on, not a finished invoice-to-spreadsheet tool. To get a usable file out of it you need an AWS account, IAM permissions, code that calls the API, and more code that maps the JSON response into the columns you want. For an engineer wiring extraction into a product at scale, that is the right tool. For an accountant or AP team that just needs invoices in Excel, it is a lot of plumbing for a simple job.
Textract is an API, not an app. Using it means an AWS account, IAM keys, and a developer to call AnalyzeExpense and handle the response. There is no upload-and-download screen for a finance user.
AnalyzeExpense hands back normalized fields and line items as JSON with bounding boxes and confidence scores. Turning that into clean Excel columns is more code you write and maintain.
Textract is metered per page through your AWS bill, and you manage regions, limits, and async jobs for larger files. That is normal for a cloud service, but it is overhead a small team does not want.
Validation, deduping, retries, a review step, and the export all sit on your side of the line. Textract extracts; everything that makes the data usable in a spreadsheet is your project.
InvoicesOCR does one job well: it turns invoices into spreadsheets. Upload a PDF, scan, or photo in the browser and the AI returns the vendor, invoice number, dates, tax, totals, and full line items as a clean Excel or CSV file. There is no AWS account to create, no IAM or SDK to configure, and no JSON to map into columns. The focus stays on getting invoice data, line items included, into a file your accounting system can import.
It is tuned for vendor invoices and supplier bills, so the fields you care about, vendor, dates, tax, totals, and line items, come out clean.
You get a clean spreadsheet ready for QuickBooks, Xero, or NetSuite, not a JSON response you have to parse and reshape in code.
There is nothing to provision and no SDK to call. Open the page, upload an invoice, and the data extracts the same minute, right in the browser.
Each line on the invoice becomes its own row, so you get description, quantity, unit price, and amount, not just the header totals.
AI extraction handles PDFs, scans, and phone photos from any supplier in any format, with no template or per-vendor setup.
Files are encrypted and deleted automatically after processing, so invoice data does not linger.
From a supplier invoice to a clean, itemized spreadsheet in about a minute, with no AWS account and nothing to code first.
Drag in PDF, JPG, PNG, or scanned invoices, one at a time or as a batch.
Tip: Multi-page PDFs are supported.
InvoicesOCR reads the vendor, invoice number, dates, tax, totals, and every line item and shows them for a quick check.
Export a clean spreadsheet and import it into your accounting system, or arrange the columns for a specific ERP template.
Tip: The same file works for QuickBooks, Xero, and NetSuite imports.
US accountants, bookkeepers, and finance teams who want vendor invoice data in a spreadsheet, not a cloud OCR API they have to call from code and turn into a file themselves.
Turn client invoices into clean, itemized Excel without an AWS account or a developer to call an API.
Process the monthly vendor invoice pile into a spreadsheet without building a pipeline on top of Textract.
Get reliable invoice extraction without provisioning AWS, parsing JSON, or maintaining extraction code.
Use the browser tool for ad hoc work and the InvoicesOCR API when an invoice batch needs to run automatically.
Last updated June 2026
Amazon Textract is a managed OCR and document AI service on AWS. Its general APIs pull text, forms, and tables out of documents, and its AnalyzeExpense API is the invoice and receipt path: it reads dozens of normalized fields such as vendor name, invoice number, dates, and totals, plus line-item fields like product code, quantity, and price, and returns them as structured JSON. AnalyzeExpense is the synchronous call for single documents, and StartExpenseAnalysis with GetExpenseAnalysis is the asynchronous path for larger jobs. The extraction is accurate and well documented. The catch is that Textract is a building block for developers, not a finished tool for finance users. It hands back fields, bounding boxes, and confidence scores, and you write the code that turns that into a spreadsheet, a review screen, and an import file.
InvoicesOCR is built for the opposite starting point. A finance user opens the page, uploads a vendor invoice, and gets clean, itemized data as Excel or CSV. One is a cloud API you integrate; the other is a tool you use directly. If you are an engineer embedding extraction into a product on AWS, Textract is purpose-built for that. If you want the vendor, dates, tax, totals, and line items in a file you can open, import, or check yourself, InvoicesOCR gets you there the same minute, with nothing to provision.
Using Textract for invoices means an AWS account, IAM permissions, a region, and code that calls AnalyzeExpense and handles the response. Then you map the JSON into the columns you actually want, deal with multi-page and async jobs, add retries and validation, and build the export. That is a normal developer workflow, and at scale it pays off. For an accountant, a bookkeeper, or a smaller AP team, it is infrastructure aimed at a problem they do not have. InvoicesOCR removes all of it: there is no account to create, no key to manage, and no JSON to reshape. You upload an invoice and download a spreadsheet, and the line items are already laid out as rows.
Textract returns extracted fields with their positions and confidence, which is exactly what a developer wants in order to build a custom pipeline. It is not what a finance user wants when the goal is a clean file. InvoicesOCR hands you a spreadsheet with one row per line item, including description, quantity, unit price, and amount, alongside the vendor, invoice number, dates, tax, and totals. You decide how each invoice is coded, approved, and paid in your own accounting system. If you later want to automate the extraction step, InvoicesOCR offers an invoice OCR API, so you can start manually today and call the API when a batch needs to run on a schedule, without standing up your own Textract integration first.
This comparison should be honest. If you are a developer building a custom document pipeline, already run on AWS, and want raw extracted fields with bounding boxes and confidence scores to integrate into your own application at scale, Amazon Textract is an excellent, mature choice, and AnalyzeExpense is built specifically for invoices and receipts. InvoicesOCR is not a general OCR service or an SDK; it does not return bounding boxes or confidence scores for you to wire into your own UI, and it is not the tool for embedding extraction deep inside another product on AWS. It is focused on invoices and on finance users who want a spreadsheet without writing code. Match the tool to the job before you decide.
For the specific task of turning invoices into spreadsheets, a no-code tool removes the AWS account, the SDK, and the JSON mapping, and hands you the line-item file you would otherwise have built. Run a few of your own invoices through it and check the columns before you commit to building on a cloud API.
Most people who evaluate Textract for invoices have a particular use case driving it. High-volume wholesale and distributor AP teams can see the no-code version in action on invoice extraction for retail, where SKU-level unit cost feeds margin and inventory valuation. Field-and-office contractors handling subcontractor and material bills can look at invoice extraction for construction, and finance leaders who want spend visibility rather than raw JSON can start with invoice extraction for CFOs.
"Textract extracted the fields well, but we still had to write code to turn the JSON into a spreadsheet and run it on AWS. For our team, uploading an invoice and downloading Excel with every line already as a row was all we actually needed."
It depends on the job. Amazon Textract is a cloud OCR API for developers building their own pipeline on AWS. If your real need is turning vendor invoices into a spreadsheet, a focused tool like InvoicesOCR is the simpler fit: it reads any invoice layout in the browser and exports Excel or CSV with no AWS account, no SDK, and no JSON to parse.
Amazon Textract is a managed AWS service that extracts text, forms, and tables from documents. For invoices and receipts it offers the AnalyzeExpense API, which reads normalized fields such as vendor, invoice number, dates, and totals plus line items and returns them as structured JSON. It is a building block developers call from code, not a finished invoice-to-spreadsheet application.
Yes. Textract has a dedicated AnalyzeExpense API for invoices and receipts that returns dozens of normalized summary fields and line-item fields. It is accurate, but it gives you JSON to build on, not a spreadsheet. InvoicesOCR is aimed at the next step: it returns the same kind of data as a clean Excel or CSV file you can import, with no code in between.
Not directly. Textract returns extracted fields as JSON, and turning that into an Excel file is code you write and maintain. InvoicesOCR exports Excel or CSV by default, with one row per line item, so there is nothing to assemble. If you need a spreadsheet rather than a JSON response, that is the main reason teams pick a no-code tool over Textract.
No. Unlike Amazon Textract, InvoicesOCR is a browser tool with nothing to provision. There is no AWS account, no IAM keys, and no SDK to install. You open the page, upload an invoice, review the extracted vendor, dates, totals, and line items, and download Excel or CSV. An API is available separately if you later want to automate extraction.
Amazon Textract is billed per page through your AWS account, with different rates for its general and AnalyzeExpense features, so check AWS directly for current pricing. On top of per-page charges, factor in the developer time to build and run the integration. InvoicesOCR is built for teams that want straightforward invoice-to-spreadsheet conversion without metering pages or maintaining code.
The browser tool returns a spreadsheet, not JSON, because the goal is a file you can open and import. That is the difference from Textract, which returns JSON for developers to parse. If you do want structured data for a program, InvoicesOCR offers an invoice OCR API, so you can choose a ready-made spreadsheet in the browser or structured output through the API.
Yes, and it is a core feature. InvoicesOCR captures description, quantity, unit price, and amount for each line and writes one row per line item, alongside the vendor, invoice number, dates, tax, and totals. That itemized output is what makes the exported spreadsheet useful for coding, approvals, and reconciliation, rather than giving you only the header totals.
If your goal is invoice data in a spreadsheet, yes. There is no integration to rebuild and no pipeline to maintain. Upload your invoices, review the extracted vendor, dates, totals, and line items, and download Excel or CSV. Because the tool reads any layout with AI, there is no setup, so your first batch works the same way every batch after it does.
