LMNT focuses on voice and audio manipulation, possibly leveraging AI to generate or transform sound for various creative and technical use cases
Creates a custom voice in LMNT by training on uploaded audio samples. The voice can then be used for text-to-speech synthesis. Returns the voice ID and metadata upon successful creation. The voice may be in 'training' state initially before becoming 'ready'.
Deletes a voice from your LMNT account. This operation permanently removes the voice and cancels any pending operations on it. This action cannot be undone. Only voices owned by you (owner='me') can be deleted; system voices cannot be deleted. Use case: Remove custom voices that are no longer needed to manage your voice library.
Generates speech from text and returns JSON with base64-encoded audio and optional word-level timing metadata. Use when you need the synthesis seed or word timestamps for subtitle synchronization. For lower latency without metadata, use the Synthesize Speech action instead.
Retrieves account information including subscription plan details and current usage statistics.
Gets metadata for a specific LMNT voice, including active status, supported languages, and plan availability. Useful for validating a voice ID before using it in synthesis requests.
Retrieves a list of available voices from LMNT. Returns both system-provided preset voices and any custom voices you have created. Use filters to narrow results by ownership (system vs custom) or starred status. Each voice includes details like ID, name, description, gender, state, and preview URL.
Synthesizes speech from text using LMNT's AI voices. Converts text (up to 5000 characters) into natural-sounding speech audio using a specified voice. Returns base64-encoded audio at `data.response_data.audio` — decode before saving or passing to other tools. Supports multiple audio formats and quality settings for different use cases.
Updates information about a specific voice in LMNT. You can update the name, description, gender, starred status, and unfreeze state of a voice. Note: Only user-owned voices (owner='me') can have their name, description, and gender updated. System voices can only be starred/unstarred.
The LMNT integration connects your Dench AI CRM directly to LMNT, so agents can read and act on your LMNT data as part of everyday work — answering questions in chat, keeping your CRM in sync, and running automations without anyone copying data between tools.
8 actions are available for agents to invoke on your behalf. Every call runs through LMNT's own authorization, scoped to the account you connect.
Sign in to your Dench workspace and open Integrations.
Find LMNT and click Connect — you'll authorize access through LMNT's own sign-in flow. No API keys or code required.
Ask an agent to use LMNT in chat, or call it from an automation.
Manage or disconnect the connection any time from workspace settings.
The Dench LMNT integration connects your AI CRM to LMNT, so AI agents can work with your LMNT data as part of chats, automations, and CRM workflows. You connect your account once, and every agent in your workspace can use it — governed by your workspace permissions.
The LMNT integration currently exposes 8 actions, including Create Voice, Delete Voice Info, Generate Speech With Metadata, Get Account, Get Voice Info, and Get Voices List. Agents invoke them on your behalf from chat or from automations.
No. You connect LMNT from your Dench workspace using LMNT's own sign-in and authorization flow — no API keys to copy, no glue code to maintain.
Connections are authorized through LMNT's own authentication flow, and Dench stores only the authorization needed to act on your behalf. You can review and disconnect the LMNT connection from your workspace settings at any time.