← RSS + Rev.ai integrations

Submit Transcription Job with Rev.ai API on New Item From Multiple RSS Feeds from RSS API

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New Item From Multiple RSS Feeds from the RSS API
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Submit Transcription Job with the Rev.ai API
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Getting Started

This integration creates a workflow with a RSS trigger and Rev.ai action. When you configure and deploy the workflow, it will run on Pipedream's servers 24x7 for free.

  1. Select this integration
  2. Configure the New Item From Multiple RSS Feeds trigger
    1. Connect your RSS account
    2. Configure timer
    3. Configure Feed URLs
    4. Optional- Configure Max per Feed
  3. Configure the Submit Transcription Job action
    1. Connect your Rev.ai account
    2. Configure media_url
    3. Optional- Configure skip_diarization
    4. Optional- Configure skip_punctuation
    5. Optional- Configure remove_disfluencies
    6. Optional- Configure filter_profanity
    7. Optional- Configure speaker_channels_count
    8. Optional- Configure delete_after_seconds
    9. Optional- Configure metadata
    10. Optional- Configure callback_url
    11. Optional- Configure phrases
  4. Deploy the workflow
  5. Send a test event to validate your setup
  6. Turn on the trigger

Details

This integration uses pre-built, source-available components from Pipedream's GitHub repo. These components are 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.

Trigger

Description:Emit new items from multiple RSS feeds
Version:1.2.6
Key:rss-new-item-from-multiple-feeds

RSS Overview

With the RSS API you have the power to create powerful tools and applications.
RSS is a great way to reliably subscribe to, track and build around your
favorite content sources. Here are some examples of things you can create
using the RSS API:

  • A personal news website to syndicate articles from multiple sources.
  • A custom feed reader to deliver timely notifications of updates and news.
  • A live editorial dashboard to track news, trends and public sentiment.
  • An automated “report bot” to aggregate and report on news topics.
  • A competitor tracking tool to stay on top of industry news.
  • A custom RSS-based search engine or RSS-supported deep learning engine.
  • A live events feed to notify users and followers of new developments.

Trigger Code

import rss from "../../app/rss.app.mjs";
import { defineSource } from "@pipedream/types";
import rssCommon from "../common/common.mjs";
export default defineSource({
    ...rssCommon,
    key: "rss-new-item-from-multiple-feeds",
    name: "New Item From Multiple RSS Feeds",
    type: "source",
    description: "Emit new items from multiple RSS feeds",
    version: "1.2.6",
    props: {
        ...rssCommon.props,
        urls: {
            propDefinition: [
                rss,
                "urls",
            ],
            description: "Enter one or multiple URLs from any public RSS feed. To avoid timeouts, 5 or less URLs is recommended.",
        },
        max: {
            type: "integer",
            label: "Max per Feed",
            description: "Maximum number of posts per feed to retrieve at one time. Defaults to 20.",
            optional: true,
            default: 20,
        },
    },
    dedupe: "unique",
    hooks: {
        async activate() {
            // Try to parse the feed one time to confirm we can fetch and parse.
            // The code will throw any errors to the user.
            for (const url of this.urls) {
                await this.rss.fetchAndParseFeed(url);
            }
        },
    },
    async run() {
        const items = [];
        for (const url of this.urls) {
            const feedItems = (await this.rss.fetchAndParseFeed(url))?.slice(0, this.max);
            console.log(`Retrieved items from ${url}`);
            items.push(...feedItems);
        }
        this.rss.sortItems(items).forEach((item) => {
            const meta = this.generateMeta(item);
            this.$emit(item, meta);
        });
    },
});

Trigger 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
RSSrssappThis component uses the RSS app.
timer$.interface.timer

How often you want to poll the feed for new items

Feed URLsurlsstring[]

Enter one or multiple URLs from any public RSS feed. To avoid timeouts, 5 or less URLs is recommended.

Max per Feedmaxinteger

Maximum number of posts per feed to retrieve at one time. Defaults to 20.

Trigger Authentication

The RSS API does not require authentication.

About RSS

Real Simple Syndication

Action

Description:Starts an asynchronous job to transcribe speech-to-text for a media file. Add an optional callback URL to invoke when processing is complete.
Version:0.1.1
Key:rev_ai-submit-transcription-job

Rev.ai Overview

Rev.ai 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, Rev.ai 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: Rev.ai 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: Rev.ai 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 Rev.ai 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 Rev.ai 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: Rev.ai 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): Rev.ai 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 Rev.ai API, you can develop voice data analytics
    solutions that make it easy to analyze voice data and gain valuable insights.

Action Code

// legacy_hash_id: a_NqiqvY
import { axios } from "@pipedream/platform";

export default {
  key: "rev_ai-submit-transcription-job",
  name: "Submit Transcription Job",
  description: "Starts an asynchronous job to transcribe speech-to-text for a media file. Add an optional callback URL to invoke when processing is complete.",
  version: "0.1.1",
  type: "action",
  props: {
    rev_ai: {
      type: "app",
      app: "rev_ai",
    },
    media_url: {
      type: "string",
      description: "Direct download media url. Ignored if submitting job from file",
    },
    skip_diarization: {
      type: "boolean",
      description: "Specify if speaker diarization will be skipped by the speech engine",
      optional: true,
    },
    skip_punctuation: {
      type: "boolean",
      description: "Specify if \"punct\" type elements will be skipped by the speech engine. For JSON outputs, this includes removing spaces. For text outputs, words will still be delimited by a space",
      optional: true,
    },
    remove_disfluencies: {
      type: "boolean",
      description: "Currently we only define disfluencies as 'ums' and 'uhs'. When set to true, disfluencies will be not appear in the transcript.",
      optional: true,
    },
    filter_profanity: {
      type: "boolean",
      description: "Enabling this option will filter for approx. 600 profanities, which cover most use cases. If a transcribed word matches a word on this list, then all the characters of that word will be replaced by asterisks except for the first and last character.",
      optional: true,
    },
    speaker_channels_count: {
      type: "integer",
      description: "Use to specify the total number of unique speaker channels in the audio.\n\nGiven the number of audio channels provided, each channel will be transcribed separately and the channel id assigned to the speaker label. The final output will be a combination of all individual channel outputs. Overlapping monologues will have ordering broken by the order in which the first spoken element of each monologue occurs. If speaker_channels_count is greater than the actual channels in the audio, the job will fail with invalid_media.\n\nNote:\n\nThe amount charged will be the duration of the file multiplied by the number of channels specified.\nWhen using speaker_channels_count each channel will be diarized as one speaker, and the value of skip_diarization will be ignored if provided",
      optional: true,
    },
    delete_after_seconds: {
      type: "integer",
      description: "Specify the number of seconds after job completion when job is auto-deleted. It may take up to 2 minutes after the scheduled time for the job to be deleted. The number of seconds provided must range from `0` seconds to `2592000` seconds (30 days).",
      optional: true,
    },
    metadata: {
      type: "string",
      description: "Optional metadata that was provided during submission",
      optional: true,
    },
    callback_url: {
      type: "string",
      description: "Optional callback url to invoke when processing is complete",
      optional: true,
    },
    phrases: {
      type: "any",
      description: "Array of phrases not found in normal dictionary. Add technical jargon, proper nouns and uncommon phrases as strings in this array to add them to the lexicon for this job.\n\nA phrase must contain at least 1 alpha character but may contain any non-numeric character from the Basic Latin set. A phrase can contain up to 12 words. Each word can contain up to 34 characters.",
      optional: true,
    },
  },
  async run({ $ }) {
    const data = {
      "media_url": this.media_url,
      "skip_diarization": this.skip_diarization,
      "skip_punctuation": this.skip_punctuation,
      "remove_disfluencies": this.remove_disfluencies,
      "filter_profanity": this.filter_profanity,
      "speaker_channels_count": this.speaker_channels_count,
      "delete_after_seconds": this.delete_after_seconds,
      "metadata": this.metadata,
      "callback_url": this.callback_url,
    };

    if (this.phrases) {
      data.phrases = {
        "custom_vocabularies": [
          {
            "phrases": this.phrases,
          },
        ],
      };
    }

    return await axios($, {
      url: "https://api.rev.ai/speechtotext/v1/jobs",
      method: "post",
      headers: {
        Authorization: `Bearer ${this.rev_ai.$auth.access_token}`,
      },
      data,
    });
  },
};

Action Configuration

This component may be configured based on the props defined in the component code. Pipedream automatically prompts for input values in the UI.

LabelPropTypeDescription
Rev.airev_aiappThis component uses the Rev.ai app.
media_urlmedia_urlstring

Direct download media url. Ignored if submitting job from file

skip_diarizationskip_diarizationboolean

Specify if speaker diarization will be skipped by the speech engine

skip_punctuationskip_punctuationboolean

Specify if "punct" type elements will be skipped by the speech engine. For JSON outputs, this includes removing spaces. For text outputs, words will still be delimited by a space

remove_disfluenciesremove_disfluenciesboolean

Currently we only define disfluencies as 'ums' and 'uhs'. When set to true, disfluencies will be not appear in the transcript.

filter_profanityfilter_profanityboolean

Enabling this option will filter for approx. 600 profanities, which cover most use cases. If a transcribed word matches a word on this list, then all the characters of that word will be replaced by asterisks except for the first and last character.

speaker_channels_countspeaker_channels_countinteger

Use to specify the total number of unique speaker channels in the audio.

Given the number of audio channels provided, each channel will be transcribed separately and the channel id assigned to the speaker label. The final output will be a combination of all individual channel outputs. Overlapping monologues will have ordering broken by the order in which the first spoken element of each monologue occurs. If speaker_channels_count is greater than the actual channels in the audio, the job will fail with invalid_media.

Note:

The amount charged will be the duration of the file multiplied by the number of channels specified.
When using speaker_channels_count each channel will be diarized as one speaker, and the value of skip_diarization will be ignored if provided

delete_after_secondsdelete_after_secondsinteger

Specify the number of seconds after job completion when job is auto-deleted. It may take up to 2 minutes after the scheduled time for the job to be deleted. The number of seconds provided must range from 0 seconds to 2592000 seconds (30 days).

metadatametadatastring

Optional metadata that was provided during submission

callback_urlcallback_urlstring

Optional callback url to invoke when processing is complete

phrasesphrasesany

Array of phrases not found in normal dictionary. Add technical jargon, proper nouns and uncommon phrases as strings in this array to add them to the lexicon for this job.

A phrase must contain at least 1 alpha character but may contain any non-numeric character from the Basic Latin set. A phrase can contain up to 12 words. Each word can contain up to 34 characters.

Action Authentication

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

Get your access token at https://www.rev.ai/access_token

About Rev.ai

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

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