Micdrop

Micdrop

An open-source developer toolkit for building the kind of real-time voice conversation you'd have with a phone-support AI — speech in, AI processing, voice out — directly in a web browser, without gluing together five separate services yourself.

🔗 Visit Micdrop
📁 Languages, SDKs & Dev Environments🗣️ English📅 August 25, 2026

Description

Building a voice AI feature — the kind where you talk and an AI responds out loud in real time — normally means wiring together a speech-to-text service, an LLM, a text-to-speech service, and handling the streaming and interruption logic yourself. Micdrop packages that whole pipeline into one open-source toolkit so developers don't have to build the plumbing from scratch.

Micdrop is a TypeScript SDK, for both Node.js and the browser, that orchestrates real-time voice conversations with AI: capturing speech, transcribing it, sending it to an AI model, and streaming back synthesized speech with voice activity detection and support for real-time interruption. It's provider-agnostic — you can plug in OpenAI, Mistral, ElevenLabs, Cartesia, Gladia, or Gradium without being locked into one vendor, and it offers an EU-based sovereign deployment path for teams with GDPR requirements. It's free and open source (MIT license) on a bring-your-own-API-keys model, so you only pay whichever third-party AI services you actually choose to use.

💬 Our review

The short version: Micdrop is a solid pick if you want to build a voice AI feature without vendor lock-in and don't mind stitching your own provider choices together, but it's a developer toolkit, not a managed product — budget real integration time.

Compared to LiveKit or Vapi, which lean toward more managed, batteries-included voice-agent infrastructure, Micdrop's open-source, MIT-licensed, provider-agnostic approach trades convenience for control: no vendor lock-in, EU-sovereign deployment for GDPR-sensitive use cases, and zero licensing cost beyond the AI providers you choose. Pipecat occupies similar open-source territory, so the choice there often comes down to ecosystem fit and language preference (TypeScript vs. Python). The real cost here isn't the SDK — it's the engineering time to configure, test, and maintain multiple third-party API integrations yourself. Worth it for teams with in-house TypeScript expertise who want flexibility; a managed platform like Vapi will get a non-specialist team to a working demo faster.

💰 Pricing

Open source / bring-your-own-keysFree and open source (MIT). You pay only for the third-party AI services you connect (OpenAI, ElevenLabs, Mistral, Cartesia, Gladia, Gradium).
Open source SDK $0 + third-party API costs

📊 Global score

53Average
🌐Availability15/100Faible

1 language · 0 platform

📄Profile90/100Excellent

Profile completeness

🤖 AI-enriched data

💰 Pricing model
💳 Open source / paiement aux fournisseurs tiers

SDK gratuit et open source (MIT). Coût réel = les services IA tiers connectés (OpenAI, ElevenLabs, Mistral, Cartesia, Gladia, Gradium).

👥 Target audienceDéveloppeurs web construisant des fonctionnalités de conversation vocale IA, équipes ayant des besoins RGPD
🗣️ Languagesen
🌍 Target countriesInternational
👍

Pros

Agnostique au fournisseur, aucun verrouillage

Option de déploiement souverain en UE, conforme RGPD

Streaming basse latence avec détection d'activité vocale

👎

Cons

Nécessite de gérer ses propres clés API tierces

Requiert une expertise TypeScript/Node.js

Aucun tarif groupé, coût dépendant des fournisseurs choisis

❓ Frequently asked questions

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