PurchaseOrders is an Amazon Textract alternative built only for purchase orders. Textract is a powerful, low-cost AWS OCR API, but using it for POs means an AWS account, IAM and S3 setup, async jobs for multi-page files, and code to turn AnalyzeExpense output into clean PO fields. Here the PO fields are pre-defined, there is a ready interface and API, and a free tier. Try it on your own POs below, then read the full comparison.
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Amazon Textract is a strong document OCR service and its AnalyzeExpense API reads invoices and receipts cheaply at scale. For purchase orders on their own, a few things push small and mid-size teams to look for something more finished.
Textract returns raw JSON from an API. To use it you need an AWS account, IAM roles, an S3 bucket, and code that calls the service, handles the results, and stores them. There is no screen to upload a PO and read the answer, so a developer has to build one first.
The expense API detects ITEM, QUANTITY, and PRICE for receipts and invoices. A purchase order has its own fields, such as the PO number, promise dates, and ship-to, that you have to map and validate yourself against Textract output.
Anything past a single page uses the asynchronous Textract operations, which means starting a job, polling for completion, and stitching pages back together in code. That plumbing is yours to write and maintain.
Textract AnalyzeExpense lists at about $0.01 a page, which is genuinely low. The real cost is the engineering time to build the pipeline, the review interface, and the field mapping before that per-page rate ever helps you.
PurchaseOrders is built for one document: the purchase order. The fields are already defined and the AI is tuned for PO layouts, so there is no AWS pipeline to build, no interface to write, and multi-page orders are handled for you.
PO number, supplier, ship-to and bill-to, dates, terms, and the full line-item table are recognized automatically. No mapping code to turn generic OCR output into purchase order fields.
Upload a purchase order in the browser and read the extracted data on screen. There is no AWS account to open, no IAM policy to write, and no bucket to configure before you get an answer.
Long POs where the line table crosses a page break are read in one step, with no async job to start, poll, and reassemble in code on your side.
Start free with no sales call, and upload up to 100 POs at once for bulk processing. Export to Excel, CSV, JSON, Google Sheets, or the API.
If your goal is getting POs into a spreadsheet, the purchase order PDF to Excel converter does it in one step, and developers who do want an API read the purchase order API docs. Weighing several tools? See the full purchase order OCR software comparison, or our Nanonets alternative, Docsumo alternative, and Docparser alternative breakdowns. The build-versus-buy math is also in PO OCR vs AI extraction.
An honest side-by-side for teams extracting purchase orders. Textract pricing is shown as publicly listed in July 2026; confirm current rates on the AWS pricing page.
| PurchaseOrders | Amazon Textract | |
|---|---|---|
| Focus | Purchase orders only, pre-tuned | General document OCR and forms |
| What you get | A ready tool and API | A raw OCR API to build on |
| PO-specific fields | Pre-defined, no mapping | You map generic output yourself |
| Interface to use it | Browser upload, on-screen review | None, you build one |
| Setup needed | Sign up and upload | AWS account, IAM, S3, code |
| Multi-page POs | Handled in one step | Async job you start and poll |
| Billing unit | Per document, free tier | Per page, about $0.01 (AnalyzeExpense) |
| Export and integrations | Excel, CSV, JSON, Google Sheets, API | JSON via API, you route it |
| Best for | Teams that just need PO data | Engineering teams building on AWS |
Amazon Textract pricing reflects the publicly listed AnalyzeExpense rate of about $0.01 per page (roughly $10 per 1,000 pages) as of July 2026 and may change; confirm current rates on the AWS pricing page. Textract is a capable, low-cost OCR service that scales well for engineering teams already on AWS. PurchaseOrders is not affiliated with Amazon or AWS; it is a purchase-order-specific tool with a ready interface, per-document pricing, and a free tier. Where you have AWS engineers and many document types, Textract may be the better building block.
No AWS account and no pipeline to build. Upload a real purchase order and see the extracted data in seconds.
Drag in a PDF, scan, or photo of a PO from any supplier. There is no cloud account to open and no code to write first.
Tip: Try a long, multi-page PO to see multi-page handling without async jobs.
The AI reads PO number, supplier, ship-to and bill-to, order and promise dates, line items, SKUs, quantities, unit prices, terms, and totals automatically.
Export clean Excel, CSV, JSON, or Google Sheets, or send the data through the API into your ERP or accounting system.
For purchase orders specifically, a pre-tuned tool like PurchaseOrders is the closest fit. The PO fields are already defined, there is a ready interface and API, and multi-page orders are handled for you. Textract remains a strong low-cost choice if you have AWS engineers and want to build your own pipeline across many document types.
Yes, Textract can read purchase orders through its OCR and AnalyzeExpense APIs, which detect item, quantity, and price fields. Because AnalyzeExpense is tuned for invoices and receipts, you map and validate PO-specific fields such as the PO number and promise dates yourself, and you build the interface and storage around the API.
Textract AnalyzeExpense lists at about $0.01 per page, which is very low, but you add the engineering time to build and run the pipeline. PurchaseOrders charges per document with a free tier and no build. Compare the per-page rate plus your development cost against per-document pricing at your real PO volume.
No. PurchaseOrders is a self-serve web tool, so you sign up and upload a purchase order in the browser with no AWS account, IAM roles, or S3 buckets to configure. Textract runs inside AWS, so using it means setting up and paying for that infrastructure as well.
Yes, but multi-page documents use the asynchronous Textract operations, so you start a job, poll for completion, and reassemble the pages in code. PurchaseOrders reads a multi-page PO in one step, including line tables that cross a page break, without that plumbing on your side.
PurchaseOrders offers a free tier so you can extract purchase orders without paying up front, and AWS includes a limited Textract free tier for new accounts. Free allowances are limited, so for steady PO processing compare the ongoing cost, including engineering time, at your real volume.
See all the PO OCR tools compared.
OCR alone vs AI extraction.
Compare PurchaseOrders with Nanonets.
Extract PO data to JSON via REST API.
How the line-item table is captured.
