Accurate Speech-to-Text APIs for all of your speech recognition needs

Integrate the API with the Python API

Setup the API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate and Python remarkably fast. Free for developers.

Get Transcript By Id with the API

Returns the transcript for a completed transcription job. Transcript can be returned as either JSON or plaintext format.

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Run Python Code with the Python API

Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.

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Submit Transcription Job with the API

Starts an asynchronous job to transcribe speech-to-text for a media file. Add an optional callback URL to invoke when processing is complete.

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Overview of API is an automatic speech recognition (ASR) software that enables users
to extract meaning from audio files. With this highly accurate software, you
can develop powerful and relevant solutions for businesses and organizations.
Whether you're looking to create smart virtual assistants, streamline customer
engagements, or boost digital transcription compliance, API provides you
with the tools you need to get the job done. Here are some of the things you
can build with Rev.AI API:

  • Chatbots and virtual assistants: API can be used to add speech
    recognition capability to your existing chatbot/virtual assistant and make it
    more interactive and efficient.
  • Speech Enabled Interfaces and Controls: API enables you to create
    speech enabled interfaces and controls for a variety of applications such as
    TVs, vehicles, home automation systems, etc.
  • Automatic Speech Recognition: With API, you can easily integrate
    automatic speech recognition capabilities into your application, enabling you
    to quickly transcribe spoken language into text.
  • Intelligent Digital Transcription: With API you can create accurate,
    real-time digital transcription from audio files, allowing you to quickly and
    accurately transcribe recorded conversations and other spoken content.
  • Voice Biometrics: API can be used to add voice biometrics capabilities
    to your application, allowing users to easily verify their identities using
    the power of their voices.
  • Natural Language Understanding (NLU): API can be used to create
    natural language understanding solutions that enable your applications to
    understand the meaning of spoken language, allowing them to understand and
    respond to user input.
  • Voice Data Analytics: With API, you can develop voice data analytics
    solutions that make it easy to analyze voice data and gain valuable insights.


import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    rev_ai: {
      type: "app",
      app: "rev_ai",
  async run({steps, $}) {
    return await axios($, {
      url: ``,
      headers: {
        Authorization: `Bearer ${this.rev_ai.$auth.access_token}`,

Overview of Python

Python API on Pipedream offers developers to build or automate a variety of
tasks from their web and cloud apps. With the Python API, users are able to
create comprehensive and flexible scripts, compose and manage environment
variables, and configure resources to perform a range of functions.

By using Pipedream, you can easily:

  • Create automated workflows that run on a specific schedule
  • Compose workflows across various apps and services
  • React to events in cloud services or form data
  • Automatically create content and notifications
  • Construct classifications and predictions
  • Analyze and react to sentiment, sentiment analysis and sentiment score
  • Connect backends to the frontend with serverless functions
  • Work with files and databases
  • Perform web requests and fetch data
  • Integrate third-party APIs into your apps
  • Orchestrate data processing tasks and pipelines
  • Create powerful application APIs with authentication and authorization
  • Design CI/CD pipelines and Continuous Delivery services
  • Connect databases like MongoDB and MySQL
  • Monitor connections and events
  • Generate alerts and notifications for corresponding events

Connect Python

def handler(pd: "pipedream"):
  # Reference data from previous steps
  # Return data for use in future steps
  return {"foo": {"test":True}}