Gemini 3.5 Transcribe: Features, Uses, and More

Part 1. What Is Gemini 3.5 Transcribe?

Gemini 3.5 Transcribe is Google's latest speech-to-text model, introduced in August 2026. Built on Gemini's audio understanding capabilities, it is designed specifically for transcription and can convert spoken audio into accurate text while handling accents, background noise, multilingual conversations, and natural speech patterns.

Unlike conventional speech recognition systems that primarily focus on recognizing individual words, Gemini 3.5 Transcribe adds more context-aware processing to the transcription workflow. It can identify different speakers, provide word-level timestamps, recognize specialized vocabulary, and clean up common speech disfluencies.

For file-based transcription, the gemini-3.5-transcribe model processes audio files and returns text. Google also provides Gemini 3.5 Transcribe Live, a separate Live API model designed for low-latency, real-time streaming transcription.

This makes Gemini 3.5 Transcribe more than a basic speech recognition model. It is designed to make the output not only accurate, but also easier to read and use.

Part 2. Key Features of Gemini 3.5 Transcribe

Gemini 3.5 Transcribe packs several flagship capabilities that set a high standard for AI audio processing.

1. Transcribe Speech in 85+ Languages

The model automatically detects and transcribes speech across more than 85 languages and regional dialects. Crucially, it handles intra-sentence code-switching-meaning if a speaker fluidly switches between English and Spanish mid-sentence, Gemini 3.5 Transcribe tracks and converts both languages seamlessly without needing manual reconfiguration.

2. Identify Different Speakers

For multi-party conversations, speaker diarization is essential. Gemini 3.5 Transcribe automatically distinguishes between distinct voices in pre-recorded audio, labeling up to three primary speakers accurately so you can easily follow who said what during a meeting or discussion.

3. Generate Word-Level Timestamps

For editors and developers needing precise temporal tracking, the model generates exact start-and-end timestamps for every recognized word. This makes it ideal for syncing captions with video playback or building searchable audio archives.

4. Understand Specialized Terms

General transcription tools often trip over industry jargon, brand names, or technical acronyms. Gemini 3.5 Transcribe allows users to feed custom vocabulary hints (up to 1,000 phrases) into the model. This biases recognition toward domain-specific language-such as medical terminology, legal terms, or proprietary product names-drastically reducing manual edits.

5. Clean Up and Format Transcripts with Smart Transcription

Perhaps its most distinctive feature is Smart Transcription. The model intelligently filters out vocal disfluencies (like "um," "uh," pauses, and false starts) and automatically applies inverse text normalization-converting spoken phrases like "twenty-six million dollars" directly into cleanly formatted output like "$26M".

Part 3. Gemini 3.5 Transcribe: Where Can You Use It?

While Gemini 3.5 Transcribe is accessible to developers via Google AI Studio and Google Antigravity APIs, its real-world implementation spans several impactful scenarios:

• Real-Time Voice Agents & Customer Support: Integrated into live phone or chat systems to process customer commands with sub-second latency.
• Automated Meeting Minutes & Call Summaries: Applied to corporate Zoom/Meet recordings to generate clean transcripts, action items, and clear speaker breakdowns.
• Live Broadcast & Multilingual Captioning: Used by streaming platforms to generate real-time subtitles across multiple languages simultaneously.
• System-Level Smart Dictation: Integrated directly into mobile keyboards (like Android Gboard's voice typing) and desktop operating systems for instant, hands-free text input.

Part 4. An Easier Way to Turn Videos and Audio into Text

While advanced AI models are pushing speech-to-text technology forward, many users simply need a convenient way to turn their existing video and audio files into accurate text. That's where HitPaw Univd's Speech to Text feature comes in.

Unlike an AI transcription model designed for developers and advanced voice workflows, Univd focuses on a straightforward media-to-text workflow: import an existing video or audio file, transcribe its spoken content, and save the result as text or SRT subtitles.

• 16+ Languages: Transcribe video and audio into text in over 16 languages using AI-powered speech recognition.
• 1,000+Formats: Drag and drop localized MP4, MOV, MP3, WAV, or AAC files directly into the program.
• Dual Output Formats: Instantly export transcriptions as plain text files (.TXT) or formatted subtitle files (.SRT) for video editing.
• Batch Processing: Convert multiple pre-recorded audio or video files into text simultaneously without uploading files to third-party web forms.

How to Convert Video or Audio to Text with HitPaw Univd

Step 1. Enter Speech to Text Feature

Open HitPaw Univd and choose the Speech to Tex feature on the home interface.

Step 2. Import Your Video or Audio

Drag and drop your target audio or video file (e.g., an MP4 interview or MP3 podcast) into the workspace.

Step 3. Select Language & Output

Choose the primary spoken language in your file and set your desired output format (Text or SRT Subtitle).

Step 4. Export as Text or SRT

Start the transcription process and save the result as a text file or SRT subtitle file, depending on your needs.

Gemini 3.5 Transcribe vs. HitPaw Univd

Gemini 3.5 Transcribe and HitPaw Univd approach speech-to-text from different perspectives. Gemini 3.5 Transcribe provides advanced transcription capabilities for developers and AI-powered workflows, while Univd focuses on making it easy for everyday users to convert existing media files into text or subtitles.

Choose Gemini 3.5 Transcribe if you:

• Are a developer building real-time voice applications or streaming software.
• Need live, sub-second transcription or real-time dictation.
• Require advanced features like custom vocabulary tuning, live filler word removal, and automatic number normalization.
• Want to process continuous bidirectional audio streams.

Choose HitPaw Univd if you:

• Are a content creator, editor, or student looking for a simple desktop app to transcribe pre-recorded video or audio files.
• Prefer a straightforward, graphical user interface over API keys and code integration.
• Need to quickly generate .srt subtitle files or .txt scripts for existing media.
• Want an offline-capable, local workflow for basic file conversion without setup overhead.

Part 5. FAQs

Conclusion

Gemini 3.5 Transcribe shows how far AI speech-to-text technology is evolving. Instead of simply recognizing spoken words, modern transcription models can identify speakers, understand specialized vocabulary, provide precise timestamps, and turn natural, unstructured speech into cleaner and more readable text.

At the same time, not every transcription task requires an advanced AI model or a developer-focused workflow. If you simply need to turn an existing video or audio file into text or SRT subtitles, HitPaw Univd offers a straightforward way to get the job done.