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ease
features
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support

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Description

Spoken is an innovative API designed to convert any publicly available podcast into a polished Markdown transcript that includes the actual names of the speakers instead of generic labels like "Speaker 1." With a single API request, users can obtain named, timestamped text that is compatible with LLMs, RAG pipelines, summarizers, and search functionalities. Instead of needing to handle speech-to-text processing and speaker identification on your own, Spoken directly provides transcripts of published podcasts while also identifying speaker names, typically at a cost that is 5-10 times lower for these shows. Users can search by entering text or by pasting a Spotify or YouTube URL, which enhances accessibility. Additionally, the service operates on a pay-per-use basis without requiring a subscription; users will not be billed for unsuccessful calls, and any repeat fetches are provided free of charge. The API is designed to be agent-native, and it comes equipped with an Agent Skill, along with resources like agents.md, llms.txt, and an OpenAPI specification. To help users get started, a free demo key is available, and paid credits can be purchased starting at just $15, making it an attractive option for anyone looking to utilize podcast transcripts efficiently. With its user-friendly features and cost-effective model, Spoken is paving the way for easier access to podcast content.

Description

Transcribe significantly reduces the time spent on transcription each month for journalists, lawyers, podcasters, students, and professional transcriptionists globally, potentially saving thousands of hours. Boost your efficiency and reclaim valuable time by transforming a wide variety of audio content, including interviews, lectures, speeches, and podcasts, into written text. Simply put on your headphones, play your audio at a slower pace, and articulate what you hear—it's really that straightforward. Our dictation technology allows for real-time speech-to-text conversion, offering a speedier alternative to traditional typing methods. We cater to a diverse range of languages, including English, Spanish, French, Hindi, and nearly all other languages from Europe and Asia, making transcription accessible for a global audience. This versatility ensures that users from different linguistic backgrounds can benefit from our service seamlessly.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Axis LMS No 
Desktop.com No 

Integrations

Axis LMS Yes 
Desktop.com Yes 

Pricing Details

$15
Free Trial No 
Free Version Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Spoken

Founded

2026

Country

Netherlands

Website

spoken.md

Vendor Details

Company Name

Wreally

Founded

2008

Country

United States

Website

transcribe.wreally.com

Product Features

Product Features

Medical Transcription

Abbreviation Expansion Yes 
Archiving & Retention No 
Audio File Management No 
Audio Transmission No 
Customizable Macros No 
Transcription Reporting No 
Voice Capture No 
Voice Recognition Yes 

Speech Recognition

Audio Capture No 
Automatic Form Fill No 
Automatic Transcription Yes 
Call Analysis No 
Concatenated Speech No 
Continuous Speech No 
Customizable Macros Yes 
Multi-Languages Yes 
Specialty Vocabularies No 
Speech-to-Text Analysis Yes 
Variable Frequency No 
Voice Recognition Yes 

Transcription

AI / Machine Learning No 
Annotations No 
Audio/Video File Upload Yes 
Automatic Transcription Yes 
Collaboration Tools No 
File Sharing Yes 
For Manual Transcription No 
Full Text Search No 
Multi-Language Support Yes 
Natural Language Processing (NLP) No 
Playback Controls Yes 
Speech Recognition Yes 
Subtitles Yes 
Text Editor Yes 
Timecoding Yes 

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