Interview Transcription (Grade A) logo

Interview Transcription (Grade A)Security-tested data-ai skill for Claude AI. Grade A. Transcription workflows, recording management, and quote extraction for journalists. Use when processing audio/video recordings, generating transc

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Daniel NikulshynReviewed by Daniel Nikulshyn·Updated July 2026

Overview

Interview Transcription (Grade A) is a security-tested data-ai skill for Claude AI, designed for journalists to manage transcription workflows, recording management, and quote extraction. It helps process audio/video recordings, generate transcripts with timestamps, and extract quotes for fact-checking. The skill provides practical workflows for managing interviews from preparation through publication, focusing on recording configuration for clean transcription, and automated transcription pipelines using OpenAI Whisper and diarization models.

Key features

  • Transcription with timestamps
  • Speaker diarization and labeling
  • Quote extraction for fact-checking
  • Recording management and organization
  • Automated transcription pipeline with WhisperX

Pricing

Model
Free
Category
Skills
Rating
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Use cases

Journalist Interview Transcription

A journalist uses Interview Transcription (Grade A) to transcribe an interview with a source, generating a timestamped transcript with speaker labels for easy reference and fact-checking.

Source Relationship Database Building

A journalist utilizes the skill to build a database of sources and recordings, organizing notes from multiple interviews and generating publishable quotes.

Pros & Cons

Pros

  • Streamlines transcription workflows for journalists
  • Improves transcription quality with standardized recording configurations
  • Automates diarization and speaker labeling in transcripts
  • Facilitates quote extraction and fact-checking

Cons

  • Requires a Hugging Face token for diarization model access
  • Dependent on specific recording settings for optimal performance
  • Limited to English language transcription

Reviews

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Q&A

How does the skill handle speaker identification in the transcript?

It combines OpenAI Whisper with the WhisperX diarization model to produce word‑level timestamps and automatically assigns speaker labels (Speaker 1, Speaker 2, etc.) in one pass.

Asked by Jana Krejčí · Dec 22, 2025

Can the skill transcribe languages other than English?

No, Interview Transcription (Grade A) is limited to English‑language transcription; it does not support other languages.

Asked by Fernando Rojas · Nov 19, 2025

What recording formats and settings are required for the best transcription quality?

The skill expects lossless WAV files at 16 kHz sample rate, mono channel (stereo only if microphones are distinct), and recommends a two‑device backup recording strategy to ensure clean audio for WhisperX.

Asked by Ingrid Bauer · Oct 17, 2025

Do I need any additional tokens or accounts to use the speaker diarization feature?

Yes, the diarization model runs via Hugging Face, so you must provide a valid Hugging Face access token for the skill to label speakers.

Asked by Adaeze Uche · Oct 6, 2025

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