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Description
Efficiently and precisely convert audio into text across over 85 languages and their variations. Enhance transcription accuracy by customizing models to better suit specific industry jargon. Unlock the full potential of spoken audio by allowing for search capabilities or analytics on the transcribed text, or enabling actions through your chosen programming language. Achieve high-quality audio-to-text transcriptions through advanced speech recognition technology. Expand your base vocabulary by incorporating particular terms or create your own bespoke speech-to-text models. Operate Speech to Text in various environments, whether in the cloud or locally through containers. Leverage the powerful technology that supports speech recognition in Microsoft products. Transform audio input from diverse sources, including microphones, audio files, and blob storage. Utilize speaker diarisation techniques to identify who spoke and when. Obtain well-structured transcripts complete with automatic punctuation and formatting. Customize your speech models for a better understanding of terminology specific to your organization or industry, ensuring a higher level of accuracy in your transcriptions. This versatility makes it easier to adapt the technology to your specific needs and applications.
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.
API Access
Has API
API Access
Has API
Screenshots View All
No images available
Integrations
Azure Marketplace
Microsoft 365
Microsoft Azure
Pricing Details
$1 per audio hour
Free Trial
Free Version
Pricing Details
$15
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Microsoft
Founded
1975
Country
United States
Website
azure.microsoft.com/en-us/services/cognitive-services/speech-to-text/
Vendor Details
Company Name
Spoken
Founded
2025
Country
Netherlands
Website
spoken.md
Product Features
Transcription
AI / Machine Learning
Annotations
Audio/Video File Upload
Automatic Transcription
Collaboration Tools
File Sharing
For Manual Transcription
Full Text Search
Multi-Language Support
Natural Language Processing (NLP)
Playback Controls
Speech Recognition
Subtitles
Text Editor
Timecoding
Product Features
Alternatives
Alternatives
No Alternatives