Certificate of Analysis Extractor

Extract the batch number, supplier, lab, overall pass or fail result, and every tested parameter with its result and limits from a certificate of analysis PDF.

The full guide: Out of specification results on a Certificate of Analysis

How should we start?

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Need to scale? Create an API key, then run this from your own code or an agent.

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Start with a document

Upload a file or pick a sample, and see the fields come back.

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Questions about Certificate of Analysis Extractor.

Are the test results returned as a table?

Yes, that is the main output. The test results table returns one row per parameter with its measured result value, the minimum and maximum specification limits, the unit, and a pass or fail status, so a batch can be checked against spec without re-keying.

What identification fields does the extractor read?

The certificate number and issue date, the inspection date, the product name, batch or lot number, and SKU, the supplier name and address, the buyer name, and the testing laboratory name, address, and accreditation number, plus the specification or standard tested against.

Does it record the overall verdict and any defects?

The overall result, the conformity statement, and the defect count are read as fields, and a defect log table returns each defect ID, description, severity class, quantity affected, and disposition when nonconformities are recorded.

Which approval and validity details come out?

The inspector or authorized signatory, the approval date, the sampling plan and quantity inspected, the expiration or next inspection date, and any corrective action are each captured.

What are the file limits and privacy terms?

PDF only, up to 10MB and 100 pages. The certificate is processed via the Talonic API for extraction, is not retained for training, and is not shared. Download the results as CSV, XLSX, or JSON.

Doing this to one file, or to ten thousand?

The tool reads a single document. The platform reads the whole estate once and keeps it queryable — the same engine, with a memory.

See PDF to Markdown if you run this for data and platform teams, or the extraction API if you are building it in.