News API translates and indexes non-English articles to English, so you can:Documentation Index
Fetch the complete documentation index at: https://newscatcherinc-docs.mintlify.dev/docs/llms.txt
Use this file to discover all available pages before exploring further.
- Search using English keywords even when the original content is in another language
- Find named entities (people, organizations, locations) using English names across all languages
- Retrieve English translations alongside original content in API responses
Translation fields are available for articles published from March 12, 2025,
onward, and require an NLP plan or higher.
Before you begin
Make sure you have the following:- An active News API key with NLP plan or higher
- The Newscatcher SDK installed, or cURL for quick testing
Search parameters
Usesearch_in to target translated fields in your query, and
include_translation_fields to return translated content in responses.
search_in options for translations
Use thesearch_in parameter to include translated content in your search:
| Option | Description |
|---|---|
title_translated | Search only in translated titles |
content_translated | Search only in translated content |
summary_translated | Search only in translated summaries |
title_content_translated | Search in both translated titles and content |
search_in. To search both original
and translated content, combine them:
Translation fields in responses
Setinclude_translation_fields: true to receive translated content in
responses. The following fields appear in each article:
| Field | Description |
|---|---|
title_translated_en | English translation of the article title |
content_translated_en | English translation of the article content |
nlp.translation_summary | Brief summary of the English translation |
nlp.translation_ner_PER | Person entities extracted from the translation |
nlp.translation_ner_ORG | Organization entities extracted from the translation |
nlp.translation_ner_LOC | Location entities extracted from the translation |
nlp.translation_ner_MISC | Miscellaneous entities extracted from the translation |
ner_PER, ner_ORG, ner_LOC, ner_MISC) and
translation NER fields (translation_ner_*) are returned together when
include_nlp_data is true.
Use cases
These examples show how to combine translation search with entity filters and country targeting to cover global news effectively.Comprehensive multilingual coverage
Search original and translated content simultaneously for maximum global coverage. Omittinglang returns results across all languages.
Tracking international organizations across languages
Find articles about international organizations using standardized English entity names, regardless of how the organization is named in the source language. For example,"European Union" matches “Union européenne” in French and “Unión
Europea” in Spanish.
Global trade policy monitoring
Combine multiple entity types with location filtering to monitor trade events across languages:Best practices
- Start with a basic keyword search in
title_content,title_content_translatedbefore adding entity filters and complex query logic. - Use official English names in quotes for organizations and locations, and combine with boolean operators for flexible matching.
- Use the
countriesparameter to focus on specific regions rather than searching globally. - When translation accuracy is critical, verify important findings against the original-language content.

