What is File Indexing?
File indexing is the process of discovering, parsing, and storing files (PDF, DOCX, images, spreadsheets) so their text and metadata can be searched. It typically includes OCR for scans, metadata extraction, and permission handling.
How It Works (quick)
- Discovery: Watch folders, cloud drives, CMS, email inboxes, or repositories.
- Parsing & OCR: Extract text, detect language, read tables; OCR images/scans.
- Metadata: Title, author, date, MIME type, tags; derive custom fields (SKU, model).
- Security: Carry ACLs so restricted docs don’t leak.
- Index & refresh: Create searchable fields; schedule re-crawls and handle deletes/tombstones.
Why It Matters in E-commerce
- Support self-service: Manuals, warranties, return policies appear in search.
- PDP enrichment: Link relevant docs to product pages.
- Ops efficiency: Internal teams find specs, MSDS sheets, and contracts quickly.
Best Practices
- High-quality OCR with confidence thresholds; store raw + cleaned text.
- Normalize & map: Use a controlled vocabulary for product-related fields.
- Preview & highlights: Show snippets and page thumbnails.
- De-dup & versions: Prefer the canonical, latest file.
- Governance: PII redaction, retention, audit logs.
Challenges
- Low-quality scans, odd encodings, and massive PDFs.
- Permission drift; broken links between docs and products.
Examples
- Index all product manuals and map them to SKUs for instant retrieval.
- Index return policy PDFs and expose answers in on-site search.
What is File Indexing?
File indexing is the process of discovering, parsing, and storing files (PDF, DOCX, images, spreadsheets) so their text and metadata can be searched. It typically includes OCR for scans, metadata extraction, and permission handling.
How It Works (quick)
- Discovery: Watch folders, cloud drives, CMS, email inboxes, or repositories.
- Parsing & OCR: Extract text, detect language, read tables; OCR images/scans.
- Metadata: Title, author, date, MIME type, tags; derive custom fields (SKU, model).
- Security: Carry ACLs so restricted docs don’t leak.
- Index & refresh: Create searchable fields; schedule re-crawls and handle deletes/tombstones.
Why It Matters in E-commerce
- Support self-service: Manuals, warranties, return policies appear in search.
- PDP enrichment: Link relevant docs to product pages.
- Ops efficiency: Internal teams find specs, MSDS sheets, and contracts quickly.
Best Practices
- High-quality OCR with confidence thresholds; store raw + cleaned text.
- Normalize & map: Use a controlled vocabulary for product-related fields.
- Preview & highlights: Show snippets and page thumbnails.
- De-dup & versions: Prefer the canonical, latest file.
- Governance: PII redaction, retention, audit logs.
Challenges
- Low-quality scans, odd encodings, and massive PDFs.
- Permission drift; broken links between docs and products.
Examples
- Index all product manuals and map them to SKUs for instant retrieval.
- Index return policy PDFs and expose answers in on-site search.
Summary
File indexing turns your documents into searchable assets. With OCR, metadata, ACLs, and good previews, it boosts customer support, PDP depth, and team productivity.
