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🔧 Agent-Bound Tool

🔎 Metadata Extractor

Metadata Extractor reads your regulatory and clinical documents — study reports, batch records, finished product specifications, product data sheets, and regulatory correspondence — and automatically extracts structured metadata: drug name, INN, dosage form, strength, route of administration, batch number, manufacturer name and address, document version, approval date, shelf-life claim, and key study parameters. This structured data feeds directly into submission preparation workflows and RIM systems, eliminating manual data entry and the transcription errors it introduces.

Agent-Bound Tool — Included automatically with RegIntel, CMCReview AI, and SubmitIQ agent subscriptions.
Tool Details
TypeAgent-Bound
SubscriptionWith RegIntel / CMCReview AI / SubmitIQ
CategoryDocument and Content
Data isolation✓ 6 layers
Audit trail✓ Immutable

This tool operates inside agent workflows that require structured metadata from source documents. It is included automatically with the relevant agent subscriptions.

Features

What Metadata Extractor does.

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Multi-format document processing

Extracts metadata from PDFs, Word documents, Excel files, and digitally-created regulatory documents — including batch records, stability reports, analytical specifications, validated method documents, and regulatory product data sheets across all common file formats.

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Regulatory field recognition

Identifies and extracts the specific fields that regulatory submissions and RIM systems require — INN and brand name, dosage form, strength, route of administration, manufacturer name and site address, batch number, manufacturing date, test dates, specification limits, and document approval signatures.

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Document version and revision metadata

Extracts document version numbers, revision dates, effective dates, approval signatures, and change history entries — providing the version control metadata that eCTD document management, submission lifecycle tracking, and change control workflows require.

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Structured output for downstream systems

Delivers extracted metadata as structured JSON and tabular data formatted for direct import into RIM systems, document management platforms, eCTD publishing tools, and submission tracking databases — removing the reformatting step between document reading and system population.

Advantages

Why it matters.

Manual data entry eliminated from submission preparation

Regulatory teams spend significant time manually reading source documents and transcribing data into submission management systems. Metadata Extractor removes this entirely — replacing hours of manual cataloguing per submission with automated extraction that runs in minutes.

Submission data consistency improved across modules

When metadata is extracted consistently from the same source documents, the risk of data inconsistencies across CTD modules — a common cause of FDA information requests about conflicting data between sections — is significantly reduced.

Large document sets processed at scale

For large submissions involving hundreds of source documents, Metadata Extractor processes the entire document set and produces a structured catalogue in a fraction of the time that manual cataloguing would require.

Audit-ready extraction records with full traceability

Every extraction is logged with the source document path, field name, extracted value, confidence level, and extraction timestamp — providing a traceable record of exactly where each piece of submission data originated.