Monitor Telegram messages, verify access, detect audio, transcribe via Whisper with Gemini fallback, chunk long results, and deliver text back to the group.
This AI agent monitors Telegram groups for voice messages and routes them through a secure transcription pipeline. It verifies sender permissions, downloads audio, and transcribes with Whisper as the primary service and Gemini as a fallback when needed. It splits long transcripts to fit Telegram's 4,000-character limit and posts the final text back to the chat.
A concise description of its end-to-end actions.
Monitor Telegram messages for voice or audio content
Verify sender access against the authorized list
Detect audio presence and identify format
Download the audio file for transcription
Transcribe with Whisper as the primary service and Gemini as fallback
Chunk long transcripts and deliver back to Telegram
Before: Access controls were weak and auditing was difficult. After: Access is restricted to authorized users and transcripts are auditable.
A simple three-step flow that non-technical users can follow.
Capture the Telegram message, verify sender access against the authorized list, and halt the workflow if unauthorized.
Detect audio format and download the audio file for transcription.
Transcribe with Whisper as the primary service; if it fails, automatically fall back to Gemini; chunk if needed and deliver to Telegram.
One realistic scenario of usage and outcomes.
A team member posts a 2-minute voice note in a Telegram group. The AI agent verifies the sender, downloads the audio, and transcribes with Whisper. If Whisper fails, Gemini handles transcription. The final transcript is about 4,900 characters, so it is split into two messages and posted back to the group.
Roles that gain clarity and speed from automated transcription.
Need searchable summaries of voice notes from meetings.
Convert client voice messages to text for ticketing and CRM.
Keep auditable transcripts of all announcements.
Make voice content accessible to hearing-impaired team members.
Support transcription in multiple languages.
Ensure access control and auditability of transcripts.
The AI agent works across messaging, transcription, and code tooling.
Receives voice messages and posts transcripts back to groups.
Primary transcription service to generate text from audio.
Fallback transcription service if Whisper fails.
Splits long transcripts into 4,000-character chunks for Telegram delivery.
Practical scenarios where the AI agent shines.
Common questions about setup, reliability, and data handling.
The AI agent checks the sender against an authorized list before starting transcription. If the user is not on the list, the agent sends an access-denied message and stops processing. Authorized users can trigger transcriptions, while audit logs help track usage. The verification happens in real time, before any file download occurs. This prevents unauthorized consumption of AI credits and maintains security.
When Whisper transcription fails, the AI agent automatically routes the same audio to Gemini as a fallback. Gemini processes the file and returns the transcript, ensuring minimal downtime. The final text is stored in the same output variable used for delivery so the user sees a consistent result. The fallback is seamless and requires no manual intervention.
Gemini is engaged only if the primary Whisper transcription encounters an error. The audio is downloaded again if necessary, sent to Gemini, and the resulting transcript is assigned to the same output variable. If Gemini also fails, the agent can trigger additional retries or notify the user. This ensures higher reliability and reduces interruptions in delivery.
Yes. The AI agent supports multiple languages and automatically chunks transcripts longer than Telegram’s 4,000-character limit. Chunks are created to preserve readability without breaking words. The delivery to Telegram preserves sequence and ordering to maintain context. Language detection and formatting ensure accuracy across languages.
Transcripts are generated in real time and delivered to the Telegram chat. Depending on deployment, transcripts can be logged or stored in a secure data store with access controls. Access is governed by the same authorization list used at trigger time. Audit trails help track who requested transcripts and when. Data handling follows standard security practices to protect content.
Transcription speed depends on audio length and network latency. The AI agent processes most short messages within seconds; longer files may take more time. The system can run the primary transcription in parallel with the notification flow to keep users informed. Real-time updates are sent during processing to manage expectations.
Yes. The allowed users list is configurable and can be updated without downtime. Changes are applied immediately to new transcription requests. You can rotate or extend permissions as roles change. This makes it easy to scale access control with team needs.
Monitor Telegram messages, verify access, detect audio, transcribe via Whisper with Gemini fallback, chunk long results, and deliver text back to the group.
