Bot & AI
Your customers send voice messages on WhatsApp. Most bots ignore them. Ours transcribes, understands, and replies — in 50+ languages, with the same intelligence as your text bot.
Languages
Whisper + Sarvam
Transcription time
Per voice note
Accuracy
Hindi & English
Per voice message
Approx cost
Voice on WhatsApp is huge in India, LatAm, Africa, and SEA. Treating it as a first-class input — not an afterthought — opens up customer segments that don't type.
Whenever a contact sends a voice message, the bot transcribes it within seconds using Whisper or Sarvam AI, then processes the text the same way it would handle a typed message.
Hindi, English, Tamil, Telugu, Bengali, Marathi, Gujarati, Spanish, Portuguese, Arabic, French, and 40+ others. Auto-detects the language — no per-contact configuration.
Voice and text both flow through the same bot logic. Your system prompt, tools, and knowledge base all work for voice — you only build the bot once.
Sarvam AI's code-mix mode handles Hinglish, Tanglish, and other natural mixed-language voice notes without breaking. Customers don't have to 'speak properly'.
Configure the bot to reply with synthesized voice notes back, or stick to text. Voice-back is great for low-literacy markets; text is better for action items.
Raw audio is processed in transit and discarded by default. Optionally retain it for QA. Built-in PII redaction available for compliance use cases.
Three steps from voice note to reply — under 3 seconds.
Your contact records a voice note in WhatsApp and sends it to your business number. The Meta or Twilio webhook delivers the audio URL to Edesy in real time.
The audio is fetched, downsampled if needed, and sent to OpenAI Whisper (global default) or Sarvam AI (best-in-class for Indian languages, including code-mix). The transcript comes back with detected language and confidence score.
The transcript flows into your existing bot logic — same system prompt, same tools, same knowledge base. The bot's reply goes back over WhatsApp as a text message (or voice, if configured), all within 2–3 seconds of the original voice note.
Most platforms either ignore voice messages entirely or charge a steep premium for transcription.
| Feature | Edesy | Most competitors |
|---|---|---|
| Built-in voice transcription | ||
| Multiple STT providers (Whisper + Sarvam) | ||
| Indian-language code-mix support | ||
| Reply with synthesized voice | ||
| Same bot logic for voice + text | Separate config | |
| Per-language model selection | ||
| Voice transcription pricing | Pass-through cost | $0.05–0.10/min markup |
| PII redaction in transcripts |
Voice is the input mode for customer segments most platforms can't serve.
Indian customers describing their loan needs in Hindi voice notes. The bot transcribes, understands intent, and routes to the right product.
35% increase in qualified loan inquiries from Tier 2/3 cities
Older patients who find typing on WhatsApp difficult can describe symptoms by voice. The bot extracts key fields and books appointments.
60% of triage conversations now self-serve
Delivery drivers report status by voice while on the road. The bot pulls structured data (POD status, location, issue codes) without breaking their workflow.
12 minutes saved per driver per day on data entry
Customers describe what happened in their own words via voice note. The bot transcribes, extracts incident details, and starts the claim.
Initial claim filed within 90 seconds of incident
Buyers ramble about their dream home by voice — 'I want 3 bed, near a good school, with a yard, under 80 lakhs'. The bot extracts structured criteria.
Lead capture conversion up 2.3x vs text-only forms
Students record questions verbally — often easier than typing math or science queries. The bot transcribes, answers from the knowledge base.
Doubt-clearing volume up 4x with same staff
Voice messages account for 7 billion sent per day on WhatsApp — three times the volume of phone calls. In India alone, over 60% of WhatsApp Business customer messages contain a voice note, and that share is much higher in Tier 2/3 markets, regional language users, and segments where literacy is uneven.
Despite that volume, almost every WhatsApp chatbot platform on the market treats voice as a second-class input. Some platforms have no transcription at all — the voice note just sits unread in the inbox until a human agent picks it up. Others charge expensive per-minute markups for transcription, making voice automation economically unviable. The result: businesses lose 30–50% of their addressable customer base to a UX gap that should have been solved years ago.
Edesy's WhatsApp voice bot fixes this. Transcription is a built-in capability, not a paid add-on. We use OpenAI Whisper as the global default and Sarvam AI as the specialized provider for Indian languages — Sarvam outperforms Whisper for Hindi, Tamil, Telugu, Bengali, and especially for the code-mix variants (Hinglish, Tanglish) that real customers actually use in voice notes. You don't have to pick which provider to use; the bot routes by detected language automatically.
Critically, the voice bot uses the same logic engine as the text bot. Your system prompt, your knowledge base, your custom tools, your handoff rules — everything just works. There's no 'voice flow' to build separately. You write the bot once and serve every customer, regardless of how they choose to communicate. For an agency or D2C team that wants to launch fast and serve a broad market, that's the difference between a bot that handles 40% of customer messages and one that handles 80%.
Set up your voice bot in your free workspace today. ₹50 trial credit, 27 demo bots pre-loaded, no credit card required.