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Podcast transcription 2026 Rank: #2581

Spoken ✓

Any podcast episode as clean Markdown in one API call.

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Podcast Transcripts Transcription Speaker Recognition
More categories (4)
Podcast Markdown Format Speech Recognition Podcast transcription
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from $15

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Verdict

A quick read before you dig into the full page.

Best if
Any podcast episode as clean Markdown in one API call
Skip if
Limited to podcast data
Pick this when
Single API call

Considering SpotScribe instead? Compare side by side

Overview

Spoken is an API tool that provides transcripts for any podcast episode in clean Markdown format. This efficient solution replaces manual audio transcribing processes with a single API call, saving time and resources for developers and allowing them to focus on building their products.

Spoken also uniquely distinguishes real speaker names instead of using generic labels such as 'Speaker 1', enhancing the readability and comprehension of the transcripts.One key feature of Spoken is its ability to detect speaker names by analyzing the context of the transcript, thus eliminating manual lookup tables or post-processing requirements.

Additionally, it offers an easy search facility where users can query by text or paste a URL from various podcast platforms, including Spotify, YouTube, and other podcast apps.Designed to be integrated with AI agents, Spoken's transcripts can be used as input data for various applications like summarizers, RAG pipelines, podcast tools, etc.

It provides a straightforward integration process, supporting any agent framework and accepting simple HTTP calls.Despite being a paid service, Spoken allows potential users a trial experience where they can evaluate the transcript's quality and format using a demo API key.

With a commitment to quality assurance, Spoken ensures that credits are never charged for errors, and it maintains a flexible payment model, without subscriptions or expiration of credits.

Spoken website

Access & connections

Where you can use Spoken, and what it plugs into.

Platforms

Web

Integrations

Spotify MCP

API

Public API available

Auth: API key

Browse other tools with an API

Capabilities

What this tool accepts, produces, and is strongest at.

Input

  • API
  • Audio

Output

  • API
  • Text

Highlights

  • API
  • MCP

Supported features

  • STT
  • API
  • MCP
  • Transcription
  • Podcast

Pros & cons

Pros

  • Single API call
  • Markdown formatted transcripts
  • Real speaker name recognition
  • Speaker names from context
  • Easy text or URL search
  • Compatible with various podcast platforms
  • Straightforward integration process
  • Supports any agent framework
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  • Compatibility with HTTP calls
  • Trial experience with demo API
  • Quality assurance for errors
  • Flexible payment model
  • No expiration of credits
  • No subscription requirement
  • Narration summarization feature
  • Text search functionality
  • No post-processing requirements
  • Direct transcript fetch via URL
  • Naming fallbacks for ambiguous speakers
  • Transcripts fit into LLM context windows
  • Metadata included in response headers
  • Agent skill URL for direct installation
  • OpenAPI spec for agent integration
  • Automatic LLM discovery
  • Credits top-up feature
  • Error denotation in response
  • Transcript preview before purchase
  • Volume-based pricing discounts
  • Full-service transcript retrieval
  • Results returned in text/markdown
  • Name mention analysis for speaker detection
  • Compatibility across various podcast apps
  • Supports plain HTTP calls
  • No manual lookup table for speakers
  • API response includes top-up link
  • No timing artifacts in transcript
  • Supports podcast search by text
  • Extraction of real speaker names
  • Search tool integration
  • Ready-to-use transcripts without cleanup
  • Allows for text-based episode search

Cons

  • No realtime transcription
  • No multi-language support
  • No offline functionality
  • Relies heavily on context
  • Doesn't support custom formatting
  • Probable speaker misidentification
  • No error correction options
  • Pricing per transcript
Show 2 more
  • Limited to podcast data
  • No user interface

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Releases 1

Initial release June 5, 2026 Current
Initial release of Spoken.

FAQ 12

What is Spoken?
Spoken is an API tool designed to provide transcripts for any podcast episode in clean Markdown format. It combines transcript generation with speaker recognition to deliver transcripts that use real speaker names instead of generic labels. Designed for AI agents, it serves various applications such as summarizers, RAG pipelines, podcast tools, and more.
What services does Spoken provide?
Spoken provides a range of services including audio transcription, markdown formatting, speaker recognition, text search, content analysis, speaker detection and context analysis, API services, and integration with AI systems. It also provides a trial experience for potential users to assess its services, maintaining a quality assurance system that doesn't charge credits for errors.
How does Spoken work?
Spoken works by replacing the conventional manual audio transcribing process with a single API call. Users can search for a podcast episode and get the transcript with real speaker names. Spoken also analyses the context of the dialogues to distinguish between speakers and eliminates the need for manual lookup tables or post-processing.
How does Spoken distinguish real speaker names?
Spoken distinguishes real speaker names by analyzing the context of the transcript. Instead of generic labels such as 'Speaker 1', 'Speaker 2', it identifies real names, enhancing the readability and comprehension of the transcripts. When actual names cannot be determined, it uses alternate labels like 'Host' or 'Guest'.
How can I search for podcast episodes with Spoken?
To search for podcast episodes with Spoken, users can query by text or paste a URL from various podcast platforms. It provides an easy and efficient search facility accommodating the needs of podcast listeners and analysts.
What platforms is Spoken compatible with?
Spoken is compatible with various podcast platforms, including but not limited to Spotify and YouTube. It also supports any agent framework, making it versatile and universally applicable.
How can Spoken be integrated with my AI agents?
Spoken can be integrated with AI agents in a very straightforward process. It provides an OpenAPI spec that works with any agent framework. Users simply need to install the agent skill and it can then accept simple HTTP calls, making the integration seamless and hassle-free.
What format does Spoken provide transcripts in?
Spoken provides transcripts in clean Markdown format with speaker names in bold and timestamps per turn. It aims for convenience, thus eliminating the need for post-processing. The format is designed to be easily readable and is sized to fit in most Language Model Limits (LLM) context windows in a single call.
Does Spoken provide a trial experience?
Yes, Spoken provides a trial experience where potential users can calibrate the transcript's quality and format using a demo API key. This allows users to evaluate the service without any upfront commitment or payment.
What is Spoken's payment model?
Spoken maintains a flexible payment model. It charges on a per transcript basis, without subscriptions or expiration of credits. Though it is a paid service, credits are not charged for erroneous transcripts, ensuring that users only pay for accurate results.
How fast can I get a transcript from Spoken?
Spoken delivers the first transcript in under 30 seconds. The key is delivered instantly after payment, ensuring a swift turnaround for users.
Can Spoken be used for large volume of transcripts?
Yes, Spoken can handle large volumes of transcripts. It offers a range of pricing tiers, from a starter pack of 100 transcripts up to a volume pack of 2,000 transcripts. Larger quantities also come with a discount per transcript.
Spoken from $15
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