transcribe-and-analyze

Name: transcribe-and-analyze
Author: nicepkg

github.com/nicepkgCreative & media28869 installsUpdated 40w ago

About transcribe-and-analyze

transcribe-and-analyze is a command-line skill for transcribing audio and video URLs locally with WhisperKit, with transcript analysis available on request. Analysis can use OpenAI or local Ollama and produces summaries, insights, topics, quotes, and action items.

Key features

01Transcribe audio and video URLs locally
02Choose among Whisper model sizes
03Analyze transcripts with OpenAI or Ollama
04Use custom prompts for analysis
05Save transcripts and analyses as Markdown

Use cases

01Transcribe a YouTube video locally
02Extract insights and action items from a lecture
03Run multiple focused analyses on one transcript

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/nicepkg/ai-workflow --skill transcribe-and-analyze

After installing, type/transcribe-and-analyzein Claude Code to confirm it loaded.

Bundled files

References and scripts installed along with SKILL.md.

references/

configuration.md

troubleshooting.md

usage-patterns.md

scripts/

analyze_transcript.py

transcribe.py

Details

From the project README

Transcribe and Analyze

Local transcription of audio/video content using WhisperKit. Analysis is available on request using OpenAI or local Ollama.

Capabilities

Transcription - Convert audio/video URLs to text using WhisperKit (runs locally, always available)
Analysis - Extract insights from transcripts (only when user asks for it, supports OpenAI or Ollama)

Quick Start

Transcribe Only

python3 scripts/transcribe.py "https://youtube.com/watch?v=..."

Transcribe + Analyze (OpenAI)

python3 scripts/transcribe.py "https://youtube.com/watch?v=..."
python3 scripts/analyze_transcript.py whisper-transcriptions/video.md

Transcribe + Analyze (Local)

python3 scripts/transcribe.py "https://youtube.com/watch?v=..."
python3 scripts/analyze_transcript.py whisper-transcriptions/video.md --local

Transcription

Script Options

# Basic
python3 scripts/transcribe.py "URL"

# Custom output directory
python3 scripts/transcribe.py "URL" --output-dir "/path/to/save"

# Higher accuracy (slower)
python3 scripts/transcribe.py "URL" --model medium

# Without timestamps
python3 scripts/transcribe.py "URL" --no-timestamps

# Custom filename
python3 scripts/transcribe.py "URL" --filename "my-transcription.md"

Whisper Models

Model	Speed	Accuracy	Use Case
`tiny`	Fastest	Lowest	Quick drafts, testing
`base`	Fast	Reasonable	Simple content
`small`	Balanced	Good	Default - most use cases
`medium`	Slower	High	Lectures, important content
`large`	Slowest	Highest	Critical accuracy needed

Dependencies

yt-dlp - pip install yt-dlp or brew install yt-dlp
whisperkit-cli - https://github.com/argmaxinc/WhisperKit

Script checks for these and provides install instructions if missing.

Output

Transcriptions save to ./whisper-transcriptions/ as markdown:

# Transcription

**Source:** https://youtube.com/watch?v=example
**Transcribed:** 2025-01-15 14:30:00
**Tool:** WhisperKit

---

[00:00:00.000 --> 00:00:05.000] Welcome to this video...

Analysis

Provider Options

OpenAI API (default):

python3 scripts/analyze_transcript.py transcript.md
python3 scripts/analyze_transcript.py transcript.md --model gpt-4o

Requires OPENAI_API_KEY environment variable.

Local Ollama:

python3 scripts/analyze_transcript.py transcript.md --local
python3 scripts/analyze_transcript.py transcript.md --local --model mistral

Requires Ollama running (ollama serve).

Script Options

# Default comprehensive analysis (OpenAI)
python3 scripts/analyze_transcript.py transcript.md

# Use local Ollama
python3 scripts/analyze_transcript.py transcript.md --local

# Specify model
python3 scripts/analyze_transcript.py transcript.md --model gpt-4o
python3 scripts/analyze_transcript.py transcript.md --local --model llama3.2

# Custom analysis prompt
python3 scripts/analyze_transcript.py transcript.md --prompt "List all tools mentioned"

# Custom output location
python3 scripts/analyze_transcript.py transcript.md --output ~/Documents/analysis.md

# Print to stdout instead of saving
python3 scripts/analyze_transcript.py transcript.md --print

Default Analysis Includes

Executive summary (2-3 paragraphs)
Key insights (5-7 bullet points)
Topics discussed with summaries
Notable quotes (3-5 memorable quotes)
Action items and recommendations
Additional observations

Custom Prompt Examples

--prompt "List all technologies and tools mentioned"
--prompt "What are the main arguments presented?"
--prompt "Extract all statistics and data points"
--prompt "Summarize in 5 bullet points"
--prompt "What questions were asked and how were they answered?"

Dependencies

openai - pip install openai (used for both OpenAI and Ollama)
OPENAI_API_KEY environment variable (for OpenAI only)
Ollama running locally (for --local mode)

Output

Analysis saves alongside transcript as transcript_name_analysis.md:

# Transcript Analysis

**Source Transcript:** path/to/transcript.md
**Analysis Model:** gpt-4o-mini (OpenAI)
**Tokens Used:** 33,763

---

[Analysis content]

Common Workflows

Full Pipeline: URL to Insights (Cloud)

python3 scripts/transcribe.py "https://youtube.com/watch?v=abc123"
python3 scripts/analyze_transcript.py whisper-transcriptions/watch.md

Full Pipeline: URL to Insights (Local)

python3 scripts/transcribe.py "https://youtube.com/watch?v=abc123"
python3 scripts/analyze_transcript.py whisper-transcriptions/watch.md --local

Multiple Analyses on Same Transcript

python3 scripts/analyze_transcript.py transcript.md --output summary.md
python3 scripts/analyze_transcript.py transcript.md --prompt "List action items" --output actions.md
python3 scripts/analyze_transcript.py transcript.md --prompt "Extract quotes" --output quotes.md

Batch Transcription

python3 scripts/transcribe.py "URL1"
python3 scripts/transcribe.py "URL2"
python3 scripts/transcribe.py "URL3"

Reference Files

Troubleshooting (`references/troubleshooting.md`)

Download failures
Transcription errors
Dependency issues
API errors

Configuration (`references/configuration.md`)

Output format details
File naming behavior
Model selection guidance

Usage Patterns (`references/usage-patterns.md`)

Common transcription scenarios
Analysis patterns
Batch processing tips

Scripts

Script	Purpose
`scripts/transcribe.py`	Download and transcribe audio/video from URLs (WhisperKit)
`scripts/analyze_transcript.py`	AI analysis of transcript files (OpenAI or Ollama)

Comments

Markdown supported

Details

Author: nicepkg
Repository: nicepkg/ai-workflow
Category: Creative & media
Installs: 69
GitHub stars: 288

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transcribe-and-analyze

About transcribe-and-analyze

Key features

Use cases

Install

Bundled files

Details

Transcribe and Analyze

Capabilities

Quick Start

Transcribe Only

Transcribe + Analyze (OpenAI)

Transcribe + Analyze (Local)

Transcription

Script Options

Whisper Models

Dependencies

Output

Analysis

Provider Options

Script Options

Default Analysis Includes

Custom Prompt Examples

Dependencies

Output

Common Workflows

Full Pipeline: URL to Insights (Cloud)

Full Pipeline: URL to Insights (Local)

Multiple Analyses on Same Transcript

Batch Transcription

Reference Files

Troubleshooting (references/troubleshooting.md)

Configuration (references/configuration.md)

Usage Patterns (references/usage-patterns.md)

Scripts

Comments

Troubleshooting (`references/troubleshooting.md`)

Configuration (`references/configuration.md`)

Usage Patterns (`references/usage-patterns.md`)