Gemini: Decoding the technology of converting audio to text

CTVXOctober 27, 2025 17:19

Google Gemini offers a completely free audio-to-text conversion service, challenging paid services with its speed and intelligent post-processing capabilities.

Google Gemini has integrated a powerful feature that allows users to quickly and completely free convert audio files to text. This technology not only offers convenience for tasks such as transcribing audio and taking meeting notes, but also directly competes with specialized, paid services like Otter.ai.

Gemini's AI power in speech recognition.

Essentially, Gemini uses Google's Large Language Model (LLM) to analyze sound waves in a file, identify speech patterns, and convert them into text characters. This tool supports most common audio formats, including:MP3, AAC, and WAV.

However, this feature currently has certain limitations. Users can upload a maximum of 10 audio files at a time, but the total duration of all files must not exceed 10 minutes. This is a factor to consider for those who need to process longer recordings such as lectures or in-depth interviews.

Giao diện tải tệp lên Google Gemini để chuyển đổi âm thanh.
This is the interface for uploading files to Google Gemini for audio conversion.

Implementation process and practical considerations.

Audio conversion with Gemini is designed to be simple and intuitive. Users simply need to follow these steps on both the web version and the mobile app.

  1. Upload file:On the main Gemini interface, select the plus (+) icon and click on the "Upload files" option.
  2. Select an audio file:Browse your device's storage and select the audio file you want to convert. The file will be loaded directly into the chat window.
  3. Issue a conversion command:Enter a simple command like "transcribe this audio file". Gemini will begin the parsing process.

In some cases, Gemini may report an error indicating that the audio file is empty even though it isn't. In practice, simply re-entering the "try again" command usually results in successful processing on the second attempt.

Người dùng nhập câu lệnh yêu cầu Gemini chuyển đổi tệp âm thanh.
The user enters a command requesting Gemini to convert the audio file.

Refine results with smart commands.

One of Gemini's biggest advantages over other tools is its ability to perform post-processing using natural language. The original raw recording may contain many filler words like "um" and "ah".

Users can instruct Gemini to automatically clean up text using commands such as "clean up this record" or "remove all 'um' and 'ah's". The AI ​​assistant will immediately provide a cleaner, more readable version of the text, significantly saving time on manual editing.

Kết quả văn bản sau khi được Gemini chuyển đổi từ tệp âm thanh.
This is the text result after Gemini converted the audio file.

Assessing potential and limitations

Gemini's audio conversion feature opens up many opportunities for students, journalists, researchers, and content creators who need a fast and inexpensive audio transcription tool.

Outstanding advantages

  • Completely free:This is the biggest competitive advantage compared to paid services.
  • Fast processing speed:The conversion process happens almost instantly for short files.
  • Integrated post-processing:The ability to issue commands to summarize, clean, or extract information from recorded text is a unique and powerful feature.

Areas for improvement

  • Time limit:Ten minutes is too short for professional needs such as lengthy interviews or conference recordings.
  • Stability:Errors occurring during the initial processing indicate that the system may require further reliability improvements.

Overall, despite some limitations, Google Gemini's audio converter is a significant step forward in democratizing AI technologies, providing a useful and accessible solution for a wide range of users.

Người dùng có thể yêu cầu Gemini làm sạch và loại bỏ các từ không cần thiết khỏi văn bản.
Users can ask Gemini to clean up and remove unnecessary words from text.
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Gemini: Decoding the technology of converting audio to text
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