Voice-to-Text Input Options for Telegram β†’ Reggie

Goal: Adam speaks β†’ text appears in Telegram β†’ Reggie receives it. Minimum friction, no copy/paste.

Researched: 2026-02-03


TL;DR β€” Best Options Ranked

#OptionFrictionPlatformsCostNotes
πŸ₯‡Telegram voice messages (built-in)LowestiOS/Mac/AndroidFree (uses existing OpenAI key)Already works. Clawdbot auto-transcribes voice notes. Hold mic button, speak, release. Done.
πŸ₯ˆWispr FlowVery lowMac + iOS + WindowsFree tier / $8-10/mo ProSystem-wide dictation in any app including Telegram. Speak β†’ polished text inserted at cursor.
πŸ₯‰SuperwhisperVery lowMac + iOSFree tier / ~$8.49/mo ProSame concept as Wispr Flow. Has explicit Telegram/WhatsApp mode support.
4macOS/iOS built-in dictationLowMac/iOSFreePress mic key on keyboard β†’ dictate β†’ text appears. Works in Telegram.
5OpenClaw macOS Voice WakeLowMac (OpenClaw app)FreeWake word or push-to-talk β†’ speaks to Reggie directly. Bypasses Telegram.
6Voice Call PluginMediumPhone callTwilio/Telnyx costsCall Reggie on the phone. Different UX entirely.

1. Telegram Voice Messages (BUILT-IN β€” ALREADY WORKS)

How it works

Clawdbot/OpenClaw has built-in audio transcription via the Media Understanding system. When you send a voice message in Telegram:

  1. Telegram records and sends an .ogg voice note
  2. Clawdbot downloads the audio attachment
  3. Auto-transcribes using the first available provider (auto-detection order):
    • Local CLIs: sherpa-onnx-offline β†’ whisper-cli β†’ whisper (Python)
    • Gemini CLI
    • Provider keys: OpenAI β†’ Groq β†’ Deepgram β†’ Google
  4. Sets Body to [Audio]\nTranscript: <text> and CommandBody/RawBody to the transcript
  5. Reggie sees it as if you typed the message. Slash commands even work from voice.

What you need

  • An OpenAI API key (already configured) β€” uses gpt-4o-mini-transcribe by default
  • OR a Groq/Deepgram/Google key
  • OR a local Whisper installation
  • tools.media.audio.enabled must NOT be false (it’s enabled by default with auto-detect)

Config (probably already working, but explicit if needed)

{
  tools: {
    media: {
      audio: {
        enabled: true,  // default: auto-detect
        // models: [{ provider: "openai", model: "gpt-4o-mini-transcribe" }]
      }
    }
  }
}

Friction level

  • iOS: Hold mic button β†’ speak β†’ release (or swipe up to lock for longer messages)
  • macOS Telegram: Click mic icon β†’ speak β†’ click send
  • Verdict: 2 taps. Very low friction. This is likely the winner.

Limitations

  • Voice messages are capped at mediaMaxMb (default 5MB on Telegram, ~4-5 min of audio)
  • Transcription adds a small delay (few seconds) before Reggie processes
  • Default processes first audio attachment only (configurable to all)

2. Wispr Flow (wisprflow.ai)

What it is

System-wide voice-to-text AI for Mac, Windows, and iPhone. You activate it (hotkey or button), speak naturally, and it inserts clean, polished text directly at your cursor in any app β€” including Telegram.

Key features

  • Works in every app (system-wide text insertion)
  • AI-powered: corrects grammar, removes filler words, adds punctuation
  • Claims 220 wpm vs 45 wpm typing
  • Custom vocabulary support
  • Mac, Windows, iOS (Android coming soon)

Telegram integration

  • Indirect but seamless: You open Telegram, focus the message input, activate Wispr Flow (hotkey), speak, and the polished text appears in the input field. Then you hit Enter/Send.
  • No native Telegram integration β€” it’s an OS-level dictation replacement

Pricing

  • Free tier (Flow Basic) β€” after 14-day Pro trial
  • Pro β€” pricing not displayed on page (likely $8-10/mo based on competitors)
  • 14-day free trial of Pro for all new users

Pros

  • Text arrives already cleaned up (no β€œum”, β€œuh”, proper punctuation)
  • Works everywhere, not just Telegram
  • Very polished product

Cons

  • Extra step: you still need to press Send after dictating
  • Paid for full features
  • iPhone app may require switching apps or using keyboard extension
  • Not on Android

3. Superwhisper (superwhisper.com)

What it is

Very similar to Wispr Flow β€” system-wide voice dictation with AI enhancement. Mac + iOS.

Key differentiator

  • Explicitly supports Telegram and WhatsApp as target apps in its mode configuration
  • β€œModes” system: you can create a β€œMessage mode” that activates specifically when using Telegram/WhatsApp with appropriate tone settings
  • Can use local models (Whisper) or cloud (GPT, Claude, Llama)
  • Push-to-talk support
  • Custom shortcuts to launch/dictate
  • File transcription (upload audio/video β†’ get text)

Telegram integration

  • Same as Wispr Flow: system-wide, inserts text at cursor
  • But has app-aware modes β€” can auto-switch dictation style when Telegram is focused
  • Custom Mode lets you set formatting rules per-app

Pricing

  • Free tier: Basic voice-to-text, small AI models, unlimited use
  • Pro: $8.49/mo (40% student discount) β€” cloud + local models, file transcription, translation
  • Enterprise: custom pricing

Pros

  • Free tier is genuinely usable
  • App-aware modes for Telegram specifically
  • Local model option (privacy)
  • Also available on iOS

Cons

  • Same send-button friction as Wispr Flow
  • Mac + iOS only (no Windows, no Android)

4. macOS / iOS Built-in Dictation

How it works

  • macOS: Press the mic key (🎀) on the keyboard, or Fn Fn (double-press), or enable via System Settings β†’ Keyboard β†’ Dictation
  • iOS: Tap the mic icon on the iOS keyboard in Telegram
  • Text appears at the cursor in Telegram’s input field

Pros

  • Free, built-in, zero setup
  • Works in Telegram (and everywhere)
  • iOS dictation is quite good with Apple Intelligence
  • Can be always-on (continuous dictation on newer macOS)

Cons

  • Less intelligent than Wispr/Superwhisper (fewer corrections, more literal)
  • Still need to hit Send
  • Occasional recognition errors
  • Can’t customize vocabulary/tone

Verdict

If you just want to talk-to-text for free with zero setup, this already works today.


5. OpenClaw macOS App β€” Voice Wake & Push-to-Talk

What it is

The OpenClaw macOS companion app has built-in Voice Wake (wake-word activation) and Push-to-Talk (hold Right Option key) that sends transcribed speech directly to Reggie.

How it works

  • Wake-word mode: Always-on speech recognizer listens for trigger words. On match, starts capture, shows overlay with partial text, auto-sends after silence.
  • Push-to-talk: Hold Right Option key β†’ speak β†’ release β†’ sends to Reggie.
  • Replies are delivered to the last-used channel (WhatsApp/Telegram/Discord/WebChat).

Pros

  • Zero-tap interaction with wake word β€” just speak
  • Push-to-talk is one key hold
  • Bypasses Telegram entirely (voice β†’ Reggie directly)
  • Built into the app you already run

Cons

  • Requires the OpenClaw macOS app (not just the gateway)
  • Wake word might false-trigger
  • Mac only
  • Doesn’t work from iOS/phone

6. Monologue (monologueapp.com)

What it actually is

Not a voice-to-text tool. Monologue is a journaling app (β€œjournal like you’re texting”). It’s a text-based note-taking app with a messaging-style UI. Not relevant to this use case.


7. Voice Call Plugin (OpenClaw)

What it is

OpenClaw has a Voice Call plugin that lets you literally call Reggie on the phone via Twilio, Telnyx, or Plivo. Full bidirectional voice conversation.

Pros

  • Most natural voice interaction β€” just talk
  • Multi-turn conversation support
  • Real phone call, works from any phone

Cons

  • Requires Twilio/Telnyx/Plivo setup + costs
  • Different UX than Telegram chat
  • Conversation context is separate from Telegram thread
  • Overkill for quick messages

8. Telegram Speech-to-Text Bots

Telegram has some third-party bots that claim to transcribe voice messages, but these are:

  • Unreliable / shut down frequently
  • Privacy concerns (your audio goes to unknown servers)
  • Completely unnecessary since Clawdbot already does this natively

Recommendation

Simplest path (do nothing new):

Just use Telegram voice messages. Clawdbot already transcribes them automatically with your existing OpenAI key. Hold mic β†’ speak β†’ release. Reggie gets the text. You’re done.

To verify it’s working:

clawdbot doctor
# Check for audio transcription in the output

Or send a test voice message to Reggie on Telegram and see if he responds to the content.

If you want polished text (cleaned up grammar/filler words):

Install Superwhisper (free tier) or Wispr Flow (14-day trial). Both work system-wide in Telegram. Superwhisper has the edge with its Telegram-aware mode system.

If you want hands-free from Mac:

Enable Voice Wake in the OpenClaw macOS app β€” just say the wake word and talk.

Configuration to verify/set

Check your config for audio transcription:

clawdbot configure --show | grep -A 10 "media"

If nothing is configured, auto-detect should work if you have an OpenAI API key set. The default model is gpt-4o-mini-transcribe.