Actions33
- Archiv Actions
- Dokument Actions
- Dokument herunterladen
- Dokument mit Klassifikation herunterladen
- Dokumentversion herunterladen
- Dokumentinformationen abrufen
- Dokument hochladen
- Dokument mit PDF hochladen
- PDF in Inbox hochladen
- Datei hochladen
- Templates für Datei abrufen
- Duplizierungscheck durchführen
- Version mit PDF hinzufügen
- Version hinzufügen
- Klassifikation mit Template-Erkennung abrufen
- Dokumenttyp Actions
- Klassifikation Actions
- Suche Actions
- Ordner Actions
- Lizenz Actions
Dokument → Duplizierungscheck durchführen
AI-generatedOverview
This node operation performs a duplicate check on a document within the ecoDMS system. It is useful for scenarios where you want to verify if a document already exists in the archive to avoid redundancy. For example, before uploading a new document, you can use this operation to check if a similar document is already stored, based on a similarity threshold.
Use Case Examples
- Checking if a scanned invoice is already archived to prevent duplicate entries.
- Verifying if a contract document has been previously uploaded before saving a new version.
Properties
| Name | Meaning |
|---|---|
| Binärdaten | Indicates whether the data of the document to be checked is provided as binary data. |
| Binäre Eigenschaft | Specifies the name of the binary property that contains the document data when binary data is used. |
| Übereinstimmungswert | Defines the similarity threshold (1-100) for documents to be considered duplicates. Lower values require less similarity to detect duplicates. |
Output
JSON
duplicateCheckResult- The result of the duplicate check, indicating whether duplicates were found and their details.
Dependencies
- Requires ecoDMS API credentials including server URL and authentication token.
Troubleshooting
- Ensure the ecoDMS API credentials are correctly configured, especially the server URL.
- If the binary data property name is incorrect or missing, the duplicate check will fail.
- Set the similarity threshold appropriately; too high may miss duplicates, too low may produce false positives.