← LMNT

Generate Speech from Text with LMNT API

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Generate Speech from Text with the LMNT API
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Getting Started

Create a workflow to Generate Speech from Text with the LMNT API. When you configure and deploy the workflow, it will run on Pipedream's servers 24x7 for free.

  1. Configure the Generate Speech from Text action
    1. Connect your LMNT account
    2. Select a Voice
    3. Configure Text
    4. Optional- Select a Audio Format
    5. Optional- Configure Length
    6. Optional- Configure Return Durations
    7. Optional- Configure Seed
    8. Optional- Configure Speed
    9. Optional- Configure Output Filename
  2. Select a trigger to run your workflow on HTTP requests, schedules or app events
  3. Deploy the workflow
  4. Send a test event to validate your setup
  5. Turn on the trigger

Integrations

Generate Speech from Text with LMNT API on New Requests (Payload Only) from HTTP / Webhook API
HTTP / Webhook + LMNT
 
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Generate Speech from Text with LMNT API on New Submission from Typeform API
Typeform + LMNT
 
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Generate Speech from Text with LMNT API on Custom Events from Zoom API
Zoom + LMNT
 
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Generate Speech from Text with LMNT API on New Submission (Instant) from Jotform API
Jotform + LMNT
 
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Generate Speech from Text with LMNT API on New Scheduled Tasks from Pipedream API
Pipedream + LMNT
 
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Details

This is a pre-built, source-available component from Pipedream's GitHub repo. The component is developed by Pipedream and the community, and verified and maintained by Pipedream.

To contribute an update to an existing component or create a new component, create a PR on GitHub. If you're new to Pipedream component development, you can start with quickstarts for trigger span and action development, and then review the component API reference.

Generate Speech from Text on LMNT
Description:Generates an audio file from the provided text. [See the documentation](https://docs.lmnt.com/api-reference/speech/synthesize-speech-1)
Version:0.0.1
Key:lmnt-generate-speech-from-text

Code

import lmnt from "../../lmnt.app.mjs";
import FormData from "form-data";
import fs from "fs";

export default {
  key: "lmnt-generate-speech-from-text",
  name: "Generate Speech from Text",
  description: "Generates an audio file from the provided text. [See the documentation](https://docs.lmnt.com/api-reference/speech/synthesize-speech-1)",
  version: "0.0.1",
  type: "action",
  props: {
    lmnt,
    voice: {
      propDefinition: [
        lmnt,
        "voice",
      ],
    },
    text: {
      propDefinition: [
        lmnt,
        "text",
      ],
    },
    format: {
      propDefinition: [
        lmnt,
        "format",
      ],
    },
    length: {
      propDefinition: [
        lmnt,
        "length",
      ],
    },
    returnDurations: {
      propDefinition: [
        lmnt,
        "returnDurations",
      ],
    },
    seed: {
      propDefinition: [
        lmnt,
        "seed",
      ],
    },
    speed: {
      propDefinition: [
        lmnt,
        "speed",
      ],
    },
    outputFilename: {
      type: "string",
      label: "Output Filename",
      description: "The result will be written to this filename in the `/tmp` folder. If not specified, defaults to `output.mp3` or `output.wav` depending on the selected format.",
      optional: true,
    },
  },
  async run({ $ }) {
    const data = new FormData();
    if (this.returnDurations) data.append("return_durations", this.returnDurations.toString());
    if (this.speed) data.append("speed", Number(this.speed));
    [
      "format",
      "length",
      "seed",
      "text",
      "voice",
    ].forEach((key) => {
      if (this[key]) data.append(key, this[key].toString());
    });

    const response = await this.lmnt.synthesizeSpeech({
      $,
      headers: data.getHeaders(),
      data,
    });

    const outputFilename = this.outputFilename ?? `output.${this.format}`;

    const filePath = outputFilename.includes("tmp/")
      ? outputFilename
      : `/tmp/${outputFilename}`;
    fs.writeFileSync(filePath, response.audio, {
      encoding: "base64",
    } );
    response.filePath = filePath;

    $.export("$summary", "Generated audio from text");
    return response;
  },
};

Configuration

This component may be configured based on the props defined in the component code. Pipedream automatically prompts for input values in the UI and CLI.
LabelPropTypeDescription
LMNTlmntappThis component uses the LMNT app.
VoicevoicestringSelect a value from the drop down menu.
Texttextstring

The text to synthesize.

Audio FormatformatstringSelect a value from the drop down menu:mp3wav
Lengthlengthinteger

Produce speech of this length in seconds; maximum 300.0 (5 minutes).

Return DurationsreturnDurationsboolean

If true, response will contain a durations field.

Seedseedinteger

Seed used to specify a different take; defaults to random.

Speedspeedstring

The talking speed of the generated speech. A floating point value between 0.25 (slow) and 2.0 (fast); defaults to 1.0.

Output FilenameoutputFilenamestring

The result will be written to this filename in the /tmp folder. If not specified, defaults to output.mp3 or output.wav depending on the selected format.

Authentication

LMNT uses API keys for authentication. When you connect your LMNT account, Pipedream securely stores the keys so you can easily authenticate to LMNT APIs in both code and no-code steps.

About LMNT

Empowering creative expression through speech. Create emotive, human-like speech and custom voices that delight.

More Ways to Use LMNT

Actions

Create Custom Voice with the LMNT API

Generates a custom voice from a batch of input audio data. See the documentation

 
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