DocuOCR reads the food-safety and quality documents your plant collects, classifies each one, and pulls the lot codes, test results, specifications, and allergen data you need, straight from certificates of analysis, supplier specs, HACCP records, and production logs. No template per supplier, no keying by hand.
Built for US food and beverage manufacturers, co-packers, and ingredient suppliers whose QA and food-safety teams process a steady flow of certificates and records and cannot let a backlog hold up a release or slow a recall trace.
Upload a document to extract
Drop files here or click to upload
Up to 50 files
Free plan extracts the first 5, rest can be unlocked after
Uploading...
Drop in a certificate of analysis, supplier spec, or production record to watch DocuOCR read it and pull out the data, free, no signup required.
A food or beverage plant runs on paperwork that never stops arriving. Every incoming ingredient brings a certificate of analysis, every approved supplier a specification, every production run a batch record and a stack of HACCP monitoring logs. Someone in QA or food safety has to read all of it, key the lot codes, test results, allergen statements, and specification limits into the quality system, and compare each certificate against the approved spec before a material is accepted or a finished lot is released. That work is slow, it repeats on every receipt and every shift, and when several deliveries and production runs land at once it becomes the reason a release or an audit waits.
Food and beverage document processing software takes the keying off your team. It reads each document, identifies what it is, and extracts the fields your quality and traceability systems depend on: the ingredient, lot code, and test results on a certificate of analysis, the parameters and limits on a supplier spec, the monitored value and corrective action on a HACCP record, and the codes and dates on a production log. Instead of typing data out of a scan or an emailed PDF, your QA and food-safety staff review what the software already pulled and spend their time on investigations and exceptions, not data entry.
The change that makes this practical is AI. Older tools needed a separate template for every supplier and contract lab and broke the moment a certificate 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 result and which is a specification limit no matter where they sit on the page. That is the difference between software that adds review work and software that clears the quality queue before it slows a release or a recall trace.
DocuOCR classifies and extracts the documents that fill a food and beverage quality file, however they arrive: native PDFs, scans, emailed attachments, faxes, or photos of hand-completed line paperwork.
Pulls the ingredient or product and lot or batch code, each test parameter with its specification and result (moisture, pH, water activity, Brix, allergens, micro and pathogen counts), the pass or fail status, and the release date.
Captures the ingredient and grade, specification parameters and limits, allergen and country-of-origin statements, and approved-supplier and revision details so an incoming CoA can be checked against the spec.
Reads the parameter monitored, the critical limit, the measured value, the corrective action, and the operator initials and times from HACCP logs, CCP records, and sanitation and SSOP forms.
Captures the product, batch or lot code, process steps and in-process checks, materials and quantities used, and the operator initials and dates, including hand-completed entries on the line.
Extracts serving size, calories, macronutrients, allergen declarations, and ingredient lists from nutrition panels and label copy so label and spec data stay consistent and review-ready.
Reads lot and batch codes, supplier and receiving data, and key dates from receiving records and production logs so traceability data is structured and searchable for recalls and mock recalls.
Allergen control statements, supplier guarantee letters, and raw material inspection reports move through the same pipeline. DocuOCR classifies the whole file so QA and food safety get the documents they own, with the data already extracted. To see how the engine sorts a mixed file first, read about document classification software, and for certificates of analysis on the plant floor, see manufacturing document processing software.
Classify, read, extract, validate. Drop a quality file in and the whole sequence runs on its own.
The engine reads a mixed quality file and sorts it by type, certificate of analysis, supplier spec, HACCP record, production log, so the right extraction runs on each document.
OCR and ICR convert scans, emailed PDFs, faxes, and photos into machine-readable text, including hand-completed fields on batch sheets and HACCP logs.
DocuOCR pulls the values tied to their labels, so you get named fields, lot codes, results, specifications, and allergen data, instead of a wall of text.
Values run through your rules and spec checks, low-confidence reads route to review, and clean data exports to your ERP or quality system or by API with an audit trail.
# ingredient_coa.pdf -> extracted data { "doc_type": "certificate_of_analysis", "ingredient": "Whey Protein Concentrate 80%", "lot_code": "LOT-77302", "moisture": "4.1% / spec max 5.0%", "salmonella": "Negative / 25g", "result": "PASS", "confidence": 0.99 } # classified, read, validated, audit-trailed for the QMS
Reading a clean PDF is the easy part. These are the capabilities that decide whether the software actually clears a quality backlog and keeps data traceable for food safety.
Sorts a quality file by document type automatically, so no one separates CoAs, supplier specs, HACCP records, and production logs by hand before processing starts.
Reads certificates, specs, and records from any ingredient supplier or contract lab without a per-source template, so an unfamiliar format does not break the flow.
Extracts multi-parameter CoA and micro-result tables as rows of named fields, not a flat block of text, so each result stays matched to its specification.
Reads hand-completed batch sheets, HACCP logs, and sanitation forms with intelligent character recognition, routing low-confidence reads to a reviewer.
Flags low-confidence fields and exceptions for QA staff, so a result, allergen statement, or limit is never trusted on an unverified read before a material or lot is released.
Captures lot and batch codes and ties them to the document, with a confidence score and audit trail on every extraction, so data stays traceable for FSMA 204, audits, and recalls.
On food safety and recordkeeping: DocuOCR supports your HACCP, FSMA, and GFSI recordkeeping with encryption in transit and at rest, role-based access, a full audit trail of every extraction and review, configurable retention, and US data handling. How records satisfy an audit depends on how a system is configured and operated, so we work with food and beverage customers on deployment, ask us about your specific requirements.
The cost of manual keying is not just hours. It is the misread allergen result, the wrong specification limit, and the lot that waited 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 result |
| Sorting the file | Classified automatically | Documents separated by hand |
| Misread allergens and results | Flagged at capture | Caught after a food-safety error |
| Unfamiliar supplier or lab layout | Read on the first pass | Re-learned by each reviewer |
| Lot and recall traceability | Captured and linked at extraction | Transcribed and easily lost |
| Data into the ERP or quality system | Exported or pushed by API | Retyped at the handoff |
DocuOCR is built on intelligent document processing: it classifies the file, reads any supplier or lab layout, extracts the data, and validates it, so QA and food safety review data instead of retyping it.
Any team that keys data off quality and food-safety documents to accept an ingredient, release a lot, or pass an audit gets time back.
Read incoming certificates of analysis, supplier specs, and production records, extract the lots, results, and specifications, and route clean fields into the quality system without keying every document.
Process a steady mix of client and supplier quality paperwork at volume, pulling the data each run needs without adding QA data-entry staff.
Turn outbound certificates, supplier specs, and guarantee letters into clean data so customer quality requirements are met without manual re-keying.
Read certificates, micro results, and HACCP records, capturing lot and test data so ingredients and finished product stay traceable for audits and recalls.
Extract allergen statements, label data, and supplier guarantees so the controlled-document set stays current and audit-ready without manual entry.
Call the API to add document classification and data extraction to your own ERP, quality, or food-safety product.
Running a restaurant group or foodservice operation instead and need to clear vendor invoices? That is a different task, handled by our restaurant invoice to Excel converter.
Run documents by hand in the dashboard, or call the same engine from your ERP, quality, or food-safety platform with one REST request. Post a certificate of analysis or supplier spec and get back the classified type, the recognized text, and the extracted fields, with a confidence score on every value.
# classify + extract a quality document curl https://api.docuocr.com/v1/extract \ -H "Authorization: Bearer $KEY" \ -F "file=@certificate_of_analysis.pdf" \ -F "classify=true" # -> doc type + fields + confidence
No seat licenses and no setup fees. Start free to check accuracy on your own certificates and specs, then pay per page as your volume grows. High-volume manufacturers and food-safety platforms move to committed plans with lower per-page rates and priority throughput.
The questions QA and food-safety teams ask most before they automate document processing.
Food and beverage document processing software reads the food-safety and quality documents a manufacturer collects, identifies what each one is, and extracts the data into structured fields. It handles certificates of analysis, supplier and ingredient specifications, HACCP and CCP monitoring records, batch and production records, nutrition fact panels, and FSMA 204 traceability records, then validates the values before they reach your ERP, quality system, or spreadsheets. Instead of QA staff keying lot codes, test results, and specification limits off PDFs and scans, the software pulls them and routes anything uncertain to review.
OCR for a certificate of analysis converts a scanned or emailed CoA into machine-readable text, then pulls the key values into structured data. For food and beverage it reads the ingredient or product and its lot or batch code, each test parameter with its specification and measured result (moisture, pH, water activity, Brix, allergens, and micro or pathogen counts), the pass or fail status, and the release date. Because CoAs arrive from many ingredient suppliers and contract labs in different layouts, OCR turns an inbox of certificates into clean, traceable data your quality system can ingest without anyone retyping a result.
Yes. OCR and intelligent document processing read HACCP monitoring logs, critical control point records, sanitation and SSOP logs, and temperature and time records regardless of layout, capturing the parameter monitored, the limit, the measured value, the corrective action, and the operator initials and dates. Because these records mix printed forms with hand-completed entries on the plant floor, intelligent character recognition reads the handwriting too and flags low-confidence characters for a reviewer, so your food-safety data becomes searchable instead of sitting in binders.
Food and beverage companies process certificates of analysis and conformance, supplier and ingredient specifications, HACCP and CCP monitoring records, batch and production records, nutrition fact panels and label copy, FSMA 204 traceability and lot records, allergen control and supplier guarantee documents, and raw material and incoming inspection reports. Food and beverage document processing software classifies this mixed quality and food-safety set automatically, then extracts the fields from each record, which is the first step before any data reaches an ERP, a quality system, or a recall and traceability log.
Yes. Supplier and ingredient specifications arrive as PDFs and spreadsheets in every supplier format, and the software reads them without a template per vendor. It captures the ingredient and grade, the specification parameters and their limits, allergen and country-of-origin statements, and approved supplier and revision details, returning each as a named field. That lets a QA team compare an incoming certificate of analysis against the approved spec automatically, so an out-of-spec lot is flagged at receipt rather than after it is already in production.
Modern AI OCR commonly starts around 95% field-level accuracy on clean documents and climbs toward 99% with validation. Accuracy matters in food and beverage because a misread allergen result, a transposed pathogen count on a certificate of analysis, or a wrong lot code creates a food-safety or traceability error that can hold up a release or complicate a recall. The dependable pattern is straight-through processing for high-confidence values and a short review queue for anything the engine flags, so a QA reviewer checks the few uncertain fields rather than rekeying the whole record.
Yes. Food and beverage document processing software is built to feed your ERP, quality, or food-safety system rather than replace it. After it reads a certificate of analysis, supplier spec, or production record, it exports the extracted fields as a file or pushes them through an API into systems such as SAP, NetSuite, an ERP, or a food-safety and quality platform, mapped to the right fields. That means the quality and traceability data your team relies on lands in the system of record automatically, without a manual rekey at the handoff.
Yes. Production logs, batch sheets, and HACCP monitoring forms are often completed by hand on the line, and intelligent character recognition reads handwritten entries on these records, then flags uncertain characters for a reviewer. It captures hand-written measurements, lot and batch codes, operator initials, and times and dates as structured fields. Because plant-floor paper mixes printed forms and hand-completed entries, the ability to read handwriting, not just clean print, is what lets a food and beverage manufacturer automate real document processing rather than only digital records.
It captures the lot and batch codes, supplier and receiving data, and key dates from certificates of analysis, receiving records, and production logs, and links each value to the source document, so the traceability data FSMA 204 expects is structured and searchable instead of buried in PDFs and binders. When a recall or a mock recall starts, you can trace a lot back to its incoming certificate and forward through production in minutes rather than digging through files, because every extracted value is tied to the document and lot it came from with an audit trail.
The best document processing software for food manufacturers reads a document from any ingredient supplier or contract lab without a per-vendor template, captures every test result and lot detail accurately, extracts the specifications, allergen statements, and codes your quality system relies on, validates them, and exports through an API with an audit trail. DocuOCR does this across certificates of analysis, supplier specs, HACCP and production records, and nutrition panels, and lets you test it on your own documents first before you commit to a plan.
Pull lot numbers, spec limits, and test results off a supplier CoA into structured rows.
The traceability records the rule requires and how document extraction keeps them audit-ready.
The end-to-end IDP workflow that classifies, reads, extracts, and validates documents in one pipeline.
The full platform behind the food and beverage workflow, with a dashboard for teams who want document data without code.
How the engine sorts a mixed quality file by document type before extraction runs.
How DocuOCR reads certificates of analysis, POs, and BOMs on the plant floor for manufacturers.
The GxP-regulated quality and batch-record workflow for pharma, biotech, and medical-device makers.
Add certificate, supplier-spec, and HACCP-record extraction to your own ERP or quality product with one REST call.
Upload a certificate of analysis, supplier spec, or production record, watch DocuOCR read it and pull out the data, then connect the API to process every document that follows on its own.
