Why Choose a Google Gemini Alternative for Transcription?
Google Gemini is an impressive AI model: multimodal, powerful, and highly versatile. On paper, it also offers significant potential for audio transcription via the Google Cloud infrastructure. But when it comes to real business use cases – like meeting transcription, task tracking, or data privacy – Gemini quickly reaches its limits.
This article explains why Sally AI is a smart and practical alternative to Google Gemini for transcription. The focus is not just on technical capabilities, but on how usable each tool is in day-to-day business environments.
What can Google Gemini do in terms of transcription?
Google Gemini can convert audio to text using the Google Cloud platform Vertex AI. But the process is technical:
- You have to manually upload the audio file
- Transcription is prompt-based
- The results often need manual post-processing and must be transferred into other tools
That makes Gemini more suitable for developers than for business teams that need automated workflows.

Where Gemini falls short for transcription
Despite its AI strengths, Gemini is poorly suited for real-world meeting workflows. Its biggest weaknesses:
- No integration with video conferencing systems (Zoom, Teams, Meet)
- No live meeting capture – only manual uploads
- No automatic task recogniton, speaker recognition, or decision tracking
- No calendar, CRM, or project management integrations
- Privacy concerns due to Google Cloud (not GDPR-compliant)
For productive teams or privacy-conscious companies, that's not enough.
What makes Sally a better Google Gemini alternative for transcription?
Sally AI was built specifically for meeting transcription, summaries, and follow-ups. It's intuitive to use, fully automated, and designed with privacy in mind.

Key advantages of Sally:
- Live participation in meetings: Sally joins Zoom, Teams, Google Meet, and others automatically and starts transcription in real time.
- Automatic summaries: Clear, structured notes with agenda points, decisions, and action items.
- GDPR-compliance and data security: Data is stored securely
- Tool integrations: Tasks and content flow directly into tools like Asana, HubSpot, Notion, or Salesforce.
- Custom vocabulary: User-defined terms and name lists improve transcription accuracy.
- Offline support: Sally works for in-person meetings via mobile app or uploaded recordings.
- Audio & video files supported: Upload any audio or video file for top-tier transcription quality.
Example: Two teams, two tools – who works more efficiently?
Team A uses Google Gemini. After each meeting, they export the recording, upload it manually, create a prompt, get the transcript, and then copy key points into other tools. Time spent: 15–30 minutes per meeting.
Team B uses Sally. The tool joins meetings automatically and sends out a complete summary with tasks to Slack, Asana, or any connected tool just five minutes after the meeting. Time spent: 0 minutes.
The difference isn't the AI – it's the system.
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Conclusion: Gemini or Sally?
Gemini, as a standalone AI model, is a powerful option – especially for developers and experimental teams. But it’s not designed for real business transcription.
Sally AI is a purpose-built, GDPR-compliant, and deeply integrated solution. It records meetings, understands context, creates structure, and distributes tasks automatically.
If you're looking not just for a transcription tool but for real productivity support, Sally is a better Google Gemini alternative for transcription.
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