DocuOCR reads the production and procurement documents your plant collects, classifies each one, and pulls the part numbers, quantities, lot numbers, and test results you need, straight from purchase orders, BOMs, certificates of analysis, and inspection reports. No template per supplier, no keying by hand.
Built for US manufacturers, contract manufacturers, and distributors whose procurement, AP, and quality teams process a steady flow of supplier paperwork and cannot let a backlog hold up a build or a shipment.
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Drop in a purchase order, BOM, or certificate of analysis to watch DocuOCR read it and pull out the data, free, no signup required.
A plant runs on paperwork that never stops arriving. Every order brings a purchase order and an acknowledgment, every shipment a packing list and a certificate of analysis, every part a spec sheet and a test report. Someone in procurement, accounts payable, or quality has to read all of it, key the part numbers, quantities, prices, lot numbers, and test results into the ERP or quality system, and check the values before a part gets bought, received, or released. That work is slow, it repeats on every order, and when several suppliers ship at once it becomes the reason a build or an audit waits.
Manufacturing document processing software takes the keying off your team. It reads each document, identifies what it is, and extracts the fields the plant depends on: the header and line items on a purchase order, the part numbers and quantities on a bill of materials, the lot number and test results on a certificate of analysis, and the measurements on an inspection report. Instead of typing data out of a scan or an emailed PDF, your buyers and quality staff review what the software already pulled and spend their time on suppliers and exceptions, not data entry.
The change that makes this practical is AI. Older tools needed a separate template for every supplier's document format and broke the moment an order arrived in an unfamiliar layout or as a scanned fax. Modern extraction reads a document by understanding its structure, so it knows which value is a quantity and which is a unit price no matter where they sit on the page. That is the difference between software that adds review work and software that clears the procurement and quality queue before it slows production.
DocuOCR classifies and extracts the documents that fill a production and procurement file, however they arrive: native PDFs, scans, emailed attachments, faxes, or shop-floor photos.
Reads the PO number, buyer and supplier, every line item with its part number, description, quantity, and unit price, the delivery date, and the totals from POs in any buyer layout.
Captures each line of a BOM, the part number, description, quantity, unit of measure, reference designator, and revision, so the structure is built without keying it row by row.
Pulls the product and lot or batch number, each test parameter with its specification and measured result, the pass or fail status, and the date for quality release and traceability.
Extracts heat numbers, mechanical and chemical properties, dimensions, and inspector data from MTRs, first-article reports, and shop-floor inspection sheets, including hand-written entries.
Reads the invoice number, supplier, PO reference, line items, and totals so accounts payable can match against the order and receipt without retyping.
Captures the order reference, items, quantities, lot numbers, and weights from packing lists and advance ship notices for receiving and inventory.
Spec sheets, engineering-drawing title blocks, and supplier quality agreements move through the same pipeline. DocuOCR classifies the whole file so procurement, accounts payable, and quality each get the documents they own, with the data already extracted. For a single document type, see purchase order OCR and packing list OCR.
Classify, read, extract, validate. Drop a supplier file in and the whole sequence runs on its own.
The engine reads a mixed supplier file and sorts it by type, purchase order, BOM, certificate of analysis, invoice, so the right extraction runs on each document.
OCR and ICR convert scans, emailed PDFs, faxes, and shop-floor photos into machine-readable text, including hand-completed fields on travelers and inspection sheets.
DocuOCR pulls the values tied to their labels, so you get named fields, part numbers, quantities, prices, lot numbers, and test results, instead of a wall of text.
Values run through your rules and checks, low-confidence reads route to review, and clean data exports to your ERP, MES, or quality system or by API.
# supplier_coa.pdf -> extracted data { "doc_type": "certificate_of_analysis", "product": "Resin Grade 4140", "lot_number": "LOT-88421", "test": "Tensile / 95 ksi / spec >= 90", "result": "PASS", "confidence": 0.99 } # classified, read, validated, ready for the QMS
Reading a clean PDF is the easy part. These are the capabilities that decide whether the software actually clears a procurement and quality backlog and keeps lots traceable.
Sorts a supplier file by document type automatically, so no one separates POs, BOMs, certificates, and invoices by hand before processing starts.
Reads purchase orders, BOMs, and certificates from any vendor without a per-supplier template, so an unfamiliar format does not break the flow.
Extracts multi-line BOMs, PO line items, and CoA test tables as rows of named fields, not a flat block of text, so quantities and results stay matched.
Reads hand-completed travelers and inspection sheets with intelligent character recognition, routing low-confidence reads to a reviewer.
Flags low-confidence fields and exceptions for staff, so a quantity or test result is never trusted on an unverified read before a part is bought or released.
Captures lot, batch, heat, and serial numbers and ties them to the part and document, so material stays traceable for audits and recalls.
The cost of manual keying is not just hours. It is the misread part number, the wrong quantity on a PO, and the lot that shipped while its certificate sat in a queue.
| Factor | Automated (DocuOCR) | Manual data entry |
|---|---|---|
| Time per document | Seconds to read and extract | Minutes of reading and keying each line item |
| Sorting the file | Classified automatically | Documents separated by hand |
| Misread parts and quantities | Flagged at capture | Caught after a procurement error |
| Unfamiliar supplier layout | Read on the first pass | Re-learned by each clerk |
| Lot and test traceability | Captured and linked at extraction | Transcribed and easily lost |
| Data into the ERP or QMS | Exported or pushed by API | Retyped at the handoff |
DocuOCR is built on intelligent document processing: it classifies the file, reads any supplier layout, extracts the data, and validates it, so procurement and quality review data instead of retyping it.
Any team that keys data off supplier documents to buy, build, receive, or release a part gets time back.
Read incoming POs, BOMs, and certificates, extract the parts, quantities, lots, and test results, and route clean fields into the ERP and quality system without keying every document.
Process a steady mix of customer orders, drawings, and supplier paperwork at volume, pulling the data each job needs without adding order-entry staff.
Turn supplier purchase orders, invoices, and packing lists into clean ERP data so receiving and AP keep pace with order volume.
Read certificates of analysis, material test reports, and inspection records, capturing lot and test data so material stays traceable for audits and recalls.
Match supplier invoices to POs and receipts by extracting the header and line data automatically, cutting the three-way match down to exceptions.
Call the API to add document classification and data extraction to your own ERP, MES, procurement, or quality product.
Run documents by hand in the dashboard, or call the same engine from your ERP, MES, or procurement platform with one REST request. Post a purchase order or certificate of analysis and get back the classified type, the recognized text, and the extracted fields, with a confidence score on every value.
# classify + extract a supplier document curl https://api.docuocr.com/v1/extract \ -H "Authorization: Bearer $KEY" \ -F "file=@purchase_order.pdf" \ -F "classify=true" # -> doc type + fields + confidence
No seat licenses and no setup fees. Start free to check accuracy on your own purchase orders and certificates, then pay per page as your volume grows. High-volume plants and supply-chain platforms move to committed plans with lower per-page rates and priority throughput.
The questions procurement, AP, and quality teams ask most before they automate document processing.
Manufacturing document processing software reads the production, procurement, and quality documents a plant collects, identifies what each one is, and extracts the data into structured fields. It handles purchase orders, order acknowledgments, bills of materials, certificates of analysis and conformance, material test and inspection reports, supplier invoices, and packing lists, then validates the values before they reach your ERP, MES, or quality system. Instead of staff keying part numbers, quantities, lot numbers, and test results off PDFs and scans, the software pulls them and routes anything uncertain to review.
OCR for purchase orders converts a scanned or emailed PO into machine-readable text, then pulls the key values into structured data. It reads the PO number, the buyer and supplier, every line item with its part number, description, quantity, and unit price, the delivery date, and the totals. Because POs arrive as native PDFs, scans, faxes, and email attachments in hundreds of buyer layouts, OCR is the step that turns an inbox of orders into clean data your ERP can ingest without anyone retyping a line.
Yes. OCR and intelligent document processing read a certificate of analysis regardless of the supplier's layout, capturing the product and lot or batch number, every test parameter with its specification and measured result, the pass or fail status, and the issue date. The software returns each value as a named field tied to its label, so a CoA lands in your quality system or LIMS correctly and stays traceable to the lot. Low-confidence reads on faded or scanned certificates route to a reviewer instead of being trusted blindly.
A manufacturer processes purchase orders and order acknowledgments, bills of materials, certificates of analysis and conformance, material test reports, quality-inspection and first-article reports, supplier and vendor invoices, packing lists and advance ship notices, spec sheets, and engineering-drawing title blocks. Manufacturing document processing software classifies this mixed set automatically, then extracts the fields from each record, which is the first step before any data reaches an ERP, an MES, or a quality management system.
You extract data from a bill of materials by uploading it to software that reads it and returns the fields: each line's part number, description, quantity, unit of measure, reference designator, and revision. AI extraction reads an unfamiliar BOM layout by understanding its table structure rather than matching a fixed template, so a BOM from any supplier or CAD export parses. The values are validated and exported to your ERP or PLM so the structure is built without anyone keying part numbers row by row.
Modern AI OCR commonly starts around 95% field-level accuracy on clean documents and climbs toward 99% with validation. Accuracy matters in manufacturing because a misread part number, a wrong quantity on a PO, or a transposed test result on a certificate of analysis creates a costly procurement or quality error. The dependable pattern is straight-through processing for high-confidence values and a short review queue for anything the engine flags, so a person checks the few fields that are uncertain rather than rekeying the whole document.
Yes. Manufacturing document processing software is built to feed an ERP, MES, or quality system rather than replace it. After it reads a purchase order, invoice, or certificate of analysis, it exports the extracted fields as a file or pushes them through an API into systems such as SAP, NetSuite, Epicor, or Infor, mapped to the right fields. That means the data your buyers, AP team, and quality team need lands in the system of record automatically, without a manual rekey at the handoff.
Purchase order processing software watches for incoming orders, reads each one with OCR, extracts the header and line-item data, validates it, and pushes clean data into your ERP. Instead of a buyer or order-entry clerk opening every PO and typing the part numbers, quantities, and prices into a system, the software does the reading and keying and surfaces only the values that need a human check. That shortens the time from a received order to a confirmed, fulfillable line in the system.
Yes. Travelers, first-article reports, and shop-floor inspection sheets are often completed by hand, and intelligent character recognition reads handwritten entries on these records, then flags uncertain characters for a reviewer. It captures hand-written measurements, part and lot numbers, inspector initials, and dates as structured fields. Because plant records mix printed and hand-completed paper, the ability to read handwriting, not just clean print, is what lets a manufacturer automate real document processing rather than only digital submissions.
The best OCR software for manufacturing reads a document from any supplier without a per-vendor template, captures every line item and test result accurately, extracts the part numbers, quantities, lot numbers, and specifications your ERP and quality system rely on, validates them, and exports through an API. DocuOCR does this across purchase orders, BOMs, certificates of analysis, inspection reports, and supplier invoices, and lets you test it on your own documents first before you commit to a plan.
The end-to-end IDP workflow that classifies, reads, extracts, and validates documents in one pipeline.
The full platform behind the manufacturing workflow, with a dashboard for teams who want document data without code.
How DocuOCR reads a single PO, capturing the header and every line item as named fields.
How the engine sorts a mixed supplier file by document type before extraction runs.
How automated capture replaces manual keying across every kind of document.
Add purchase-order, BOM, and certificate extraction to your own ERP, MES, or procurement product with one REST call.
Upload a purchase order, BOM, or certificate of analysis, watch DocuOCR read it and pull out the data, then connect the API to process every document that follows on its own.
