ceven

LMNT

Converts text to high fidelity audio using custom voice profiles and automates the production of narrated content across your media pipeline.

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Standard

Why use Ceven?

  1. AI native LMNT integration

    • Describe the outcome and Ceven picks the right LMNT calls, fills the parameters, and checks the result.
    • Structured, agent friendly tool schemas so each call runs reliably instead of by guesswork.
    • Rich coverage for reading, writing, and querying your LMNT data, across all 8 of its actions.

  2. Managed auth

    • Built in OAuth with automatic token refresh and rotation.
    • One place to manage, scope, and revoke LMNT access.
    • Per user and per environment credentials instead of shared keys.

  3. Agent optimized design

    • Actions are tuned from real success and error rates so reliability climbs over time.
    • Full execution logs so you always know what ran in LMNT, when, and on whose behalf.
    • The agent pauses and asks when LMNT is unclear instead of plowing ahead.

  4. Enterprise grade security

    • Fine grained access so you control which agents and people can reach LMNT.
    • Least privilege by default, read scopes first and only the writes a workflow needs.
    • A full audit trail of every LMNT action to support review and sign off.

Supported tools

Every action Ceven's agents can run on LMNT, and when to use it.

Create Voice
Use this when you need to generate a new synthetic voice profile based on provided audio samples or parameters.
Delete Voice Info
Remove a specific voice profile from the library. Use this to clean up unused assets or deprecated voice versions.
Get Account
Pull account details including usage quotas and plan limits to ensure there is enough credit for a large synthesis job.
Get Voice Info
Retrieve the metadata and configuration for a specific voice ID to verify its settings before synthesis.
Get Voices List
Pull a complete list of all available voices in the account to select the best match for a specific project.
Synthesize Speech
Convert text into an audio file using a chosen voice. This is the primary action for generating narration.
Update Voice Info
Modify the attributes or labels of an existing voice profile to better organize the library.
Get Synthesize Speech
Synthesizes speech from text using a specific voice in lmnt.

8 actions · scroll to see them all

Frequently asked questions

Ceven automatically splits long scripts into smaller chunks that fit within the character limits of the LMNT API. The agent manages the sequencing of these chunks so the final audio remains fluid and natural. Once each segment is synthesized, Ceven can push the individual files to a storage bucket or use a secondary tool to stitch them together into a single master file. This prevents the API from timing out on massive documents and allows you to track the progress of the synthesis in real time. You can define exactly where the breaks happen by using specific markers in your text to ensure the AI does not cut off a sentence mid word.
Yes, Ceven can leverage the multilingual capabilities of LMNT to generate speech in various languages. You simply specify the target language and the corresponding voice ID in the workflow. The agent can even run a translation step using another tool before sending the text to LMNT, allowing you to take an English script and produce narrated versions in Spanish, French, or German automatically. This is particularly useful for global training modules where you need the same voice persona to speak different languages. Ceven keeps track of which voice ID corresponds to which language to ensure the output remains consistent across your entire international content library.
LMNT enforces strict rate limits on the number of concurrent synthesis requests depending on your subscription tier. If Ceven detects a rate limit error, it implements an exponential backoff strategy, pausing the workflow and retrying the request after a short delay. This ensures that large batches of audio do not fail entirely. You can also configure the workflow to queue requests sequentially rather than in parallel to avoid hitting these limits during peak production times. The agent monitors the account status and can notify you via Slack or email if the queue is moving slowly due to these API constraints, allowing you to upgrade your tier if needed.
When Ceven calls the synthesize speech action, LMNT returns the audio data which Ceven then handles based on your workflow rules. Typically, the agent uploads the file to a cloud storage provider like Amazon S3 or Google Cloud Storage and then passes the public URL to your next tool, such as a video editor or a website CMS. You can specify the desired audio format and quality settings within the action configuration. Because the agent manages the transfer, you never have to manually download and upload files. This creates a seamless bridge between the text generation phase and the final audio delivery phase of your project.
Yes, you can use the update voice info action to change the metadata or settings associated with an existing voice. This is useful for renaming voices to match project codes or adding tags that help the agent find the right voice for a specific mood. While you cannot change the fundamental acoustic properties of a voice after it is created, updating the labels allows you to keep your library organized. Ceven can automate this by syncing your LMNT voice names with a project tracking sheet in Airtable, ensuring that whenever a project lead renames a character, the corresponding voice asset in LMNT is updated to match.
Ceven does not store your audio files on its own servers permanently. It acts as a conduit, moving the audio from LMNT to your chosen storage destination. Once the transfer to your S3 bucket or Dropbox is confirmed, the temporary cache is cleared. This ensures that you maintain full ownership and control over your intellectual property and assets. If you need to regenerate a file, the agent simply runs the synthesis workflow again using the original text and voice ID. This approach minimizes security risks and ensures that your storage costs are managed within your own infrastructure rather than through a third party.
Absolutely. You can build a workflow where a user uploads a voice sample via a form, and Ceven automatically triggers the create voice action in LMNT. The agent can then validate the voice creation and notify the user once their custom synthetic voice is ready for use. This is ideal for applications where users need a digital twin of their own voice for personalized messaging. Ceven handles the file transfer of the sample to LMNT and monitors the processing status until the voice ID is active. You can even add a review step where a human administrator must approve the voice before it is added to the production library.
Yes, the best practice is to create a preview workflow. You can set up a trigger that takes a single sentence and runs it through the synthesize speech action with a specific voice. Ceven can then send this short clip to a chat app for quick approval. Once you click a button to approve the sample, the agent triggers the full script synthesis for the entire project. This prevents the waste of credits on a voice that does not fit the desired tone. By breaking the process into a sample phase and a production phase, you ensure high quality output while keeping your LMNT usage efficient.

Alternatives to LMNT

Other tools that solve a similar problem. Ceven supports these too, so you can switch or run more than one at once.

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