DocuOCR reads the quality and regulatory documents your organization collects, classifies each one, and pulls the lot numbers, test results, specifications, and methods you need, straight from certificates of analysis, batch records, lab results, and SOPs. No template per supplier, no keying by hand.
Built for US pharmaceutical, biotech, and medical-device companies, CDMOs, and contract labs whose QA, QC, and regulatory teams process a steady flow of GxP paperwork and cannot let a backlog hold up a batch release or an audit.
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Drop in a certificate of analysis, batch record, or lab result to watch DocuOCR read it and pull out the data, free, no signup required.
A regulated operation runs on paperwork that never stops arriving. Every incoming material brings a certificate of analysis, every batch a manufacturing record and in-process checks, every test a result that has to be compared against a specification. Someone in QA, QC, or regulatory affairs has to read all of it, key the lot numbers, results, methods, and specification limits into the LIMS or quality system, and check the values before a material is accepted or a batch is released. That work is slow, it repeats on every lot, and when several shipments and batches land at once it becomes the reason a release or an audit waits.
Life sciences document processing software takes the keying off your team. It reads each document, identifies what it is, and extracts the fields the quality system depends on: the product and lot number and test results on a certificate of analysis, the process steps and in-process checks on a batch record, the method and result on a lab report, and the document number and revision on an SOP. Instead of typing data out of a scan or an emailed PDF, your QA and QC 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 batch release.
DocuOCR classifies and extracts the documents that fill a GxP quality and regulatory file, however they arrive: native PDFs, scans, emailed attachments, faxes, or photos of hand-completed paper.
Pulls the product and lot or batch number, each test parameter with its specification and measured result, the analytical method, the pass or fail status, and the release date for material acceptance and traceability.
Captures the product, batch or lot number, process steps and in-process checks, materials and quantities used, and the operator initials and dates, including hand-completed entries on travelers.
Reads the analytical method, result values and units, specification limits, and timepoints from QC lab reports and stability study data so results land in the LIMS as named fields.
Extracts document numbers, titles, revisions, effective dates, and approvers from standard operating procedures and IQ, OQ, and PQ validation protocols for the controlled-document index.
Captures the reference number, dates, product and lot, description, and disposition from deviation, CAPA, and complaint forms, reading both printed and hand-written entries.
Reads vendor and material data, grade and spec limits, and qualification status from supplier documents and material specifications for incoming material control.
Regulatory submission documents, master batch records, and quality agreements move through the same pipeline. DocuOCR classifies the whole file so QA, QC, and regulatory affairs each 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, batch record, lab result, SOP, 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 records and lab notebooks.
DocuOCR pulls the values tied to their labels, so you get named fields, lot numbers, results, specifications, and methods, 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 LIMS, QMS, or ERP or by API with an audit trail.
# supplier_coa.pdf -> extracted data { "doc_type": "certificate_of_analysis", "product": "API Lot, Grade USP", "batch_number": "BN-20461", "test": "Assay / 99.4% / spec 98.0-102.0", "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 GxP.
Sorts a quality file by document type automatically, so no one separates CoAs, batch records, lab results, and SOPs by hand before processing starts.
Reads certificates, results, and records from any supplier or contract lab without a per-source template, so an unfamiliar format does not break the flow.
Extracts multi-parameter CoA and stability tables as rows of named fields, not a flat block of text, so each result stays matched to its specification.
Reads hand-completed batch records, travelers, and lab notebooks with intelligent character recognition, routing low-confidence reads to a reviewer.
Flags low-confidence fields and exceptions for QA staff, so a result or specification is never trusted on an unverified read before a material or batch is released.
Captures lot, batch, and method values and ties them to the document, with a confidence score and audit trail on every extraction, so data stays traceable for audits.
On GxP and 21 CFR Part 11: DocuOCR supports your validated workflows 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. Compliance depends on how a system is configured, validated, and operated, so we work with regulated customers on validation and deployment, ask us about your specific requirements.
The cost of manual keying is not just hours. It is the misread lot number, the wrong specification limit, and the batch 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 lots and results | Flagged at capture | Caught after a quality error |
| Unfamiliar supplier or lab layout | Read on the first pass | Re-learned by each reviewer |
| Lot and audit traceability | Captured and linked at extraction | Transcribed and easily lost |
| Data into the LIMS 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 or lab layout, extracts the data, and validates it, so QA and QC review data instead of retyping it.
Any team that keys data off quality and regulatory documents to accept a material, release a batch, or pass an audit gets time back.
Read incoming certificates of analysis, batch records, and test results, extract the lots, results, and specifications, and route clean fields into the LIMS and quality system without keying every document.
Process a steady mix of client and supplier quality paperwork at volume, pulling the data each batch needs without adding QA data-entry staff.
Turn supplier certificates, inspection records, and material specs into clean quality-system data so incoming inspection and the device history file keep pace.
Read certificates, lab and stability results, and batch records, capturing lot and test data so material and product stay traceable for audits and investigations.
Extract document numbers, revisions, and approvers from SOPs, protocols, and submission documents so the controlled-document index stays current without manual entry.
Call the API to add document classification and data extraction to your own LIMS, quality, or life-sciences product.
Run documents by hand in the dashboard, or call the same engine from your LIMS, QMS, or life-sciences platform with one REST request. Post a certificate of analysis or batch record 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 batch records, then pay per page as your volume grows. High-volume manufacturers and life-sciences platforms move to committed plans with lower per-page rates and priority throughput.
The questions QA, QC, and regulatory teams ask most before they automate document processing.
Life sciences document processing software reads the manufacturing, quality, and regulatory documents a pharma, biotech, or medical-device company collects, identifies what each one is, and extracts the data into structured fields. It handles batch manufacturing records, certificates of analysis and conformance, lab and stability test results, standard operating procedures, validation protocols, and deviation and CAPA records, then validates the values before they reach your LIMS, QMS, or ERP. Instead of QA staff keying lot numbers, test results, and specifications 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. It reads the product and lot or batch number, each test parameter with its specification and measured result, the pass or fail status, the analytical method, and the release date. Because CoAs arrive from many suppliers and contract labs in different layouts, OCR is the step that 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 a batch manufacturing record regardless of layout, capturing the product, the batch or lot number, the process steps and in-process checks, the materials and quantities used, and the operator initials and dates. Because batch records mix printed forms with hand-completed entries, intelligent character recognition reads the handwriting too and flags low-confidence characters for a reviewer. The result is each value returned as a named field tied to its label, ready for the batch review and release workflow.
Life sciences companies process batch manufacturing and production records, certificates of analysis and conformance, lab and stability test results, standard operating procedures, validation protocols such as IQ, OQ, and PQ, deviation, CAPA, and complaint records, supplier qualification documents, and material specifications. Life sciences document processing software classifies this mixed quality and regulatory set automatically, then extracts the fields from each record, which is the first step before any data reaches a LIMS, a QMS, or an ERP.
Part 11 compliance is a property of how a system is configured, validated, and operated, not a checkbox a vendor can claim on your behalf. DocuOCR supports your Part 11 and GxP workflows with the controls those rules depend on: encryption in transit and at rest, role-based access, a full audit trail of every extraction and review, configurable data retention, and US data handling. We work with regulated customers on validation and deployment, so ask us about your specific Part 11, GxP, and data-residency requirements before you roll it out.
Modern AI OCR commonly starts around 95% field-level accuracy on clean documents and climbs toward 99% with validation. Accuracy matters in life sciences because a misread lot number, a transposed test result on a certificate of analysis, or a wrong specification limit creates a quality or compliance error that can hold up a batch release. 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 fields that are uncertain rather than rekeying the whole record.
Yes. Life sciences document processing software is built to feed a LIMS, QMS, or ERP rather than replace it. After it reads a certificate of analysis, batch record, or test result, it exports the extracted fields as a file or pushes them through an API into systems such as a LIMS, an electronic quality management system, SAP, or NetSuite, mapped to the right fields. That means the quality and manufacturing data your team relies on lands in the system of record automatically, without a manual rekey at the handoff.
Yes. Batch records, travelers, and lab notebooks 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, lot and batch numbers, operator and analyst initials, and dates as structured fields. Because regulated paper mixes printed forms and hand-completed entries, the ability to read handwriting, not just clean print, is what lets a life sciences company automate real document processing rather than only digital submissions.
GxP document processing keeps data traceable by capturing every extracted value with a confidence score, linking it to the source document and the lot or batch it came from, and recording each extraction and human review in an audit trail. Lot, batch, and method values stay tied to the certificate or record they were read from, so a result can be traced back to its source during an audit or an investigation. Low-confidence reads route to a reviewer rather than being trusted blindly, which preserves the data integrity GxP workflows depend on.
The best OCR software for life sciences reads a document from any supplier or contract lab without a per-vendor template, captures every test result and batch detail accurately, extracts the lot numbers, specifications, and methods your quality system relies on, validates them, and exports through an API with an audit trail. DocuOCR does this across certificates of analysis, batch records, lab and stability results, SOPs, and deviation records, 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 life sciences 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.
How automated capture replaces manual keying across every kind of document.
Add certificate, batch-record, and lab-result extraction to your own LIMS or quality product with one REST call.
Upload a certificate of analysis, batch record, or lab result, watch DocuOCR read it and pull out the data, then connect the API to process every document that follows on its own.
