Understand
The query is read as meaning and as words. Third quarter becomes July to September, energy becomes suppliers and contracts. Typos and other languages do not get in the way.
Smart Search · AI-DMS module
Smart search finds documents even when you do not know the words in them: semantic, in full text, in OCR text.
Four modes from hybrid to exact, one shared ranking, relevance per hit. Across languages and tolerant of typos.
Trusted by leading companies worldwide
How it works
Search works on the index the AI-DMS builds during processing: text, OCR, embeddings, entities.
The query is read as meaning and as words. Third quarter becomes July to September, energy becomes suppliers and contracts. Typos and other languages do not get in the way.
Semantic search over embeddings, full text with stemming and fuzziness, OCR text from scans and entities such as companies and amounts run in parallel and are merged into one hit list.
One shared ranking weights the sources, every hit carries its relevance. Mode selectable: hybrid as default, semantic, full text or exact for numbers and codes.
Capabilities
Four search paths, one ranking, all documents.
Embeddings for summary, page and paragraph find meaning instead of words.
Stemming, fuzziness and phrases for classic keyword search.
Semantics and full text with shared ranking, the default for the best hits.
Numbers, codes and field values without interpretation, per meta field too.
Scanned PDFs and images are searchable like digital documents.
A German query finds an English invoice because meaning counts.
Relevance threshold, workspace, document type, period and party as filters.
Answers in under a second even for large archives.
Comparison
Same query, different results. The difference is what the search understands.
| Comparison | File search | Full-text search | PaperOffice smart search |
|---|---|---|---|
| Meaning | File name only | Words only | Semantics and words |
| Scans | Not searchable | If OCR exists | OCR text included |
| Typos | No hit | Fuzziness | Tolerant, meaning stays |
| Languages | Exact language only | Exact language only | Across languages |
| Relevance | None | Hit count | Score per hit, ranking |
curl -X GET \ "https://api.paperoffice.ai/latest/documents/document-search?workspace_id=1553&query=Rechnung%20drittes%20Quartal&search_mode=hybrid&limit=20" \ -H "Authorization: Bearer po_ut_YOUR_API_KEY" curl -X POST \ "https://api.paperoffice.ai/latest/documents/documents-list" \ -H "Authorization: Bearer po_ut_YOUR_API_KEY" \ --data-urlencode "workspace_id=1553" \ --data-urlencode "global_search=Wartungsvertrag Kündigungsfrist" \ --data-urlencode "search_mode=semantic" \ --data-urlencode "similarity_threshold=0.4" curl -X POST \ "https://api.paperoffice.ai/latest/document_intelligence/embeddings/search" \ -H "Authorization: Bearer po_ut_YOUR_API_KEY" \ -H "Content-Type: application/json" \ -d '{"query":"offene Rechnungen Nordlicht","embedding_type":"paragraph","limit":10}' For developers
Full-text and hybrid search, advanced document search with filters and semantic search over embeddings.
Hybrid, semantic, full text or exact, with workspace, threshold and pages.
Summary, page, paragraph or metadata, hits with score.
Search as a tool in Claude, ChatGPT and Cursor, with workspace permissions.
Security and compliance
Search shows only workspaces the user is authorized for. Index and embeddings are stored in our own EU data centers, queries are logged.
Frequently asked questions
Hybrid combines semantics and full text with shared ranking and is the default. Semantic searches by meaning over embeddings. Full text searches words with stemming and fuzziness. Exact finds numbers, codes and field values without interpretation.
Yes. The OCR text from processing is part of the index, scans and photos are found like digital documents.
Yes. A German query finds English documents because semantic search compares meaning, not words.
Full text and OCR text from Basic, embeddings for semantic search from Premium, entities and knowledge graph from Ultra.
Yes. The threshold filters weak hits, plus filters by workspace, document type, period and party.
Yes. Full-text and hybrid search, advanced document search and semantic search over embeddings are available via the REST API and in the MCP server.
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