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Translation Memory (TM) is an organization-wide database of previously translated strings. When a translator or the AI engine works on a new string, Entri searches the TM for similar strings and suggests the approved translations as a starting point. This accelerates translation, reduces cost, and enforces consistency across projects. TM entries are created automatically when AI translations are saved. All projects in the organization share the same TM. The TM search uses fuzzy matching — strings do not need to be identical to be considered a match.

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Endpoints

GET    /api/organizations/:orgId/tm                      Browse TM entries (paginated)
GET    /api/organizations/:orgId/tm/search               Search TM by source text
DELETE /api/organizations/:orgId/tm/:entryId             Delete a TM entry
Translation memory endpoints are organization-scoped. All projects in the organization share the same TM.

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Search Translation Memory

The most common use of the TM API is to look up matches for a given source string: 
curl "https://api.nt3.io/api/organizations/org_789xyz/tm/search?sourceText=Welcome+to+Entri&sourceLang=en&targetLang=fr" \
  -H "Cookie: session=..."
Query parameters:
ParameterTypeDescription
sourceTextstringThe text to search for.
sourceLangstringSource language code (e.g. en).
targetLangstringTarget language code (e.g. fr).
Response: 
[
  {
    "_id": "tm_abc123",
    "sourceText": "Welcome to Entri",
    "targetText": "Bienvenue sur Entri",
    "sourceLanguage": "en",
    "targetLanguage": "fr",
    "similarity": 100,
    "usageCount": 14
  },
  {
    "_id": "tm_def456",
    "sourceText": "Welcome to the platform",
    "targetText": "Bienvenue sur la plateforme",
    "sourceLanguage": "en",
    "targetLanguage": "fr",
    "similarity": 76,
    "usageCount": 3
  }
]
The similarity score (0–100) indicates how closely the stored source text matches the query. A score of 100 is an exact match.
usageCount tracks how many times the same source text has been added to the TM (e.g. duplicate strings across keys). It does not count how many times the entry has been applied as a suggestion.

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Browse TM Entries

Browse all TM entries with pagination: 
curl "https://api.nt3.io/api/organizations/org_789xyz/tm?page=1&limit=50" \
  -H "Cookie: session=..."
Response: 
{
  "data": [
    {
      "_id": "tm_abc123",
      "sourceText": "Welcome to Entri",
      "targetText": "Bienvenue sur Entri",
      "sourceLanguage": "en",
      "targetLanguage": "fr",
      "usageCount": 14
    }
  ],
  "meta": {
    "page": 1,
    "limit": 50,
    "total": 312,
    "totalPages": 7
  }
}

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Delete a TM Entry

Remove an incorrect or outdated TM entry: 
curl -X DELETE https://api.nt3.io/api/organizations/org_789xyz/tm/tm_abc123 \
  -H "Cookie: session=..."