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What is OpenAI Whisper?

Whisper is an advanced automatic speech recognition (ASR) model developed by OpenAI to convert spoken audio into text with high accuracy. It is trained on an extensive dataset of 680,000 hours of multilingual and multitask audio collected from the web. This large and diverse dataset allows Whisper to perform well across various accents, noisy environments, and technical vocabulary. The model supports multiple capabilities, including speech transcription, language identification, and translation into English. It uses an encoder-decoder Transformer architecture, where audio is processed as log-Mel spectrograms before generating text outputs. Whisper can also produce phrase-level timestamps, making it useful for applications requiring precise audio alignment. Unlike many traditional ASR systems, Whisper is optimized for strong zero-shot performance across different datasets. It demonstrates significantly fewer errors in diverse real-world scenarios compared to specialized models. The model’s multilingual training enables it to handle both English and non-English audio effectively. Developers can integrate Whisper into applications such as voice interfaces, transcription tools, and accessibility solutions. Its open-source availability encourages innovation and customization across industries. Overall, Whisper serves as a robust and flexible foundation for building modern speech-enabled technologies.

What is Spoken?

Spoken is a cutting-edge API that transforms any publicly accessible podcast into a well-structured Markdown transcript, featuring the actual names of the speakers rather than generic identifiers such as "Speaker 1." By making a single API call, users can receive named and timestamped text that seamlessly integrates with LLMs, RAG pipelines, summarizers, and search functionalities. This eliminates the need for users to manage speech-to-text conversion and speaker recognition themselves, as Spoken delivers ready-made transcripts of published podcasts while also accurately attributing speaker identities, typically at a cost that is significantly lower—5 to 10 times less—than traditional methods for these shows. Users can enhance their search capabilities by entering specific text or by pasting a Spotify or YouTube URL, which greatly improves overall accessibility. Moreover, the service operates on a pay-per-use model, eliminating the need for subscriptions; users aren’t charged for failed attempts, and any repeated fetches are offered at no additional cost. Designed to be agent-native, the API includes an Agent Skill along with helpful resources such as agents.md, llms.txt, and an OpenAPI specification to streamline integration. To assist users in getting started, a complimentary demo key is provided, and paid credits are available for purchase starting at just $15, making it an appealing choice for those seeking to leverage podcast transcripts efficiently. With its intuitive features and affordable pricing structure, Spoken is revolutionizing access to podcast content while ensuring users can maximize their experience. Ultimately, Spoken represents a significant advancement in the way podcast transcripts are generated and utilized.

Media

Media

No images available

Integrations Supported

Azure AI Speech
Baseten
Blink
Fuser
Krater.ai
Kuku
Monster API
Nekton.ai
NoteVocal
Pruna AI
PyGPT
SheepScript.ai
Shownotes
Thinkbuddy
Unremot
VESSL AI
Vocode
Waveloom
Whisper Notes
brancher.ai

Integrations Supported

Azure AI Speech
Baseten
Blink
Fuser
Krater.ai
Kuku
Monster API
Nekton.ai
NoteVocal
Pruna AI
PyGPT
SheepScript.ai
Shownotes
Thinkbuddy
Unremot
VESSL AI
Vocode
Waveloom
Whisper Notes
brancher.ai

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$15
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

OpenAI

Date Founded

2015

Company Location

United States

Company Website

openai.com/index/whisper/

Company Facts

Organization Name

Spoken

Date Founded

2025

Company Location

Netherlands

Company Website

spoken.md

Categories and Features

Speech Recognition

Audio Capture
Automatic Form Fill
Automatic Transcription
Call Analysis
Concatenated Speech
Continuous Speech
Customizable Macros
Multi-Languages
Specialty Vocabularies
Speech-to-Text Analysis
Variable Frequency
Voice Recognition

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

Categories and Features

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Popular Alternatives

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