Oracle Adds New AI Translation and Summarization Features

On October 8, 2025, Oracle announced the expansion of its Select AI capabilities to include AI translation and summarization directly inside its Autonomous Database — a move that turns language capabilities into built-in features of Oracle’s data platform.

Launched in 2023 as a natural-language-to-SQL tool, Select AI initially focused on helping users query and analyze data using natural language instead of SQL queries. 

The latest update extends its scope to language-related tasks, allowing users to summarize or translate text stored in the database — all without leaving the database environment.

While translation is not new to Oracle — its Oracle Cloud Infrastructure (OCI) Language service has long offered translation, sentiment analysis, and text classification — the new Select AI capability builds on this existing infrastructure and brings translation directly inside the Autonomous Database for the first time.

Oracle says the new translation feature helps users work more effectively across multilingual datasets by converting database text into their preferred language. It can also improve retrieval-augmented generation (RAG) performance by translating content into the language best suited for embedding models, and extends to outputs from Oracle’s Generate and Narrate functions, enabling users to automatically produce summaries or reports in their preferred language.

Summarization wasn’t new either. Oracle’s cloud AI stack — OCI Generative AI — already supported it. With the official release announced on September 23, 2025, Oracle brings that capability as well directly into Autonomous Database, allowing users to generate summaries of large text inputs — up to 1 GB — without leaving the database environment.

Translation-as-a-Feature Gains Ground

By integrating these language capabilities into Select AI, Oracle is making translation and summarization native functions inside the database, allowing enterprises to process and analyze multilingual content alongside structured data.

“By combining these two features – translation and summarization – in the same SQL queries, you can easily develop solutions for use cases such as translating global news articles and summarizing them by topic or translating social media content and summarizing feedback for common threads or issues,” Mark Hornick, Senior Director, Data Science and Machine Learning at Oracle wrote in a LinkedIn post.

The update aligns with other Oracle initiatives to integrate AI translation into its enterprise software. In 2024, Oracle introduced an AI translation feature in Oracle Argus, its pharmacovigilance platform used by life sciences companies to automate the translation of clinical and safety reports into 30 languages. Overall, Oracle’s move reflects the growing translation-as-a-feature trend — where translation and multilingual AI are no longer standalone offerings but embedded capabilities within core enterprise platforms.