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Gettr Transcribe Summarize

Download audio from a GETTR post.

Rating
4.2 (95 reviews)
Downloads
647 downloads
Version
1.0.0

Overview

Download audio from a GETTR post.

Key Features

1

— Parse the slug and pick an output directory

2

— Get the video URL

3

— Run the pipeline (download + transcribe)

4

— Summarize

Complete Documentation

View Source →

Gettr Transcribe + Summarize (MLX Whisper)

Quick start

bash
# 1. Parse the slug from the URL (just read it — no script needed)
#    https://gettr.com/post/p1abc2def  → slug = p1abc2def
#    https://gettr.com/streaming/p3xyz → slug = p3xyz

# 2. Get the video URL
#    For /post/ URLs: use the extraction script
python3 scripts/extract_gettr_og_video.py "<GETTR_POST_URL>"

#    For /streaming/ URLs: use browser automation directly (extraction script is unreliable)
#    See Step 1 below for browser automation instructions

# 3. Run download + transcription pipeline
bash scripts/run_pipeline.sh "<VIDEO_URL>" "<SLUG>"

To explicitly set the transcription language (recommended for non-English content):

bash
bash scripts/run_pipeline.sh --language zh "<VIDEO_URL>" "<SLUG>"

Common language codes: zh (Chinese), en (English), ja (Japanese), ko (Korean), es (Spanish), fr (French), de (German), ru (Russian).

This outputs:

  • ./out/gettr-transcribe-summarize//audio.wav
  • ./out/gettr-transcribe-summarize//audio.vtt
Then proceed to Step 3 (Summarize) to generate the final deliverable.


Workflow (GETTR URL → transcript → summary)

Inputs to confirm

Ask for:
  • GETTR post URL
  • Output format: bullets only or bullets + timestamped outline
  • Summary size: short, medium (default), or detailed
  • Language (optional): if the video is non-English and auto-detection fails, ask for the language code (e.g., zh for Chinese)
Notes:
  • This skill does not handle authentication-gated GETTR posts.
  • This skill does not translate; outputs stay in the video's original language.
  • If transcription quality is poor or mixed with English, re-run with explicit --language flag.

Prereqs (local)

  • mlx_whisper installed and on PATH
  • ffmpeg installed (recommended: brew install ffmpeg)

Step 0 — Parse the slug and pick an output directory

Parse the slug directly from the GETTR URL — just read the last path segment, no script needed:

  • https://gettr.com/post/p1abc2def → slug = p1abc2def
  • https://gettr.com/streaming/p3xyz789 → slug = p3xyz789
Output directory: ./out/gettr-transcribe-summarize//

Directory structure:

  • ./out/gettr-transcribe-summarize//audio.wav
  • ./out/gettr-transcribe-summarize//audio.vtt
  • ./out/gettr-transcribe-summarize//summary.md

Step 1 — Get the video URL

The approach depends on the URL type:

#### For /post/ URLs — Use the extraction script

Run the extraction script to get the video URL from the post HTML:

bash
python3 scripts/extract_gettr_og_video.py "<GETTR_POST_URL>"

This prints the best candidate video URL (often an HLS .m3u8) to stdout.

If extraction fails, ask the user to provide the .m3u8/MP4 URL directly (common if the post is private/gated or the HTML is dynamic).

#### For /streaming/ URLs — Use browser automation directly

Do not use the extraction script for streaming URLs. The og:video URL from static HTML extraction is unreliable for streaming content — it either fails outright or the download stalls and fails near the end.

Instead, use browser automation to get a fresh, dynamically-signed URL:

  • Open the GETTR streaming URL and wait for the page to fully load (JavaScript must execute)
  • Extract the og:video meta tag content from the rendered DOM:
javascript
document.querySelector('meta[property="og:video"]').getAttribute('content')
  • Use that fresh URL for the pipeline in Step 2
If browser automation is not available or fails, see references/troubleshooting.md for how to guide the user to manually extract the fresh URL from their browser.

Step 2 — Run the pipeline (download + transcribe)

Feed the extracted video URL and slug into the pipeline:

bash
bash scripts/run_pipeline.sh "<VIDEO_URL>" "<SLUG>"

To explicitly set the language (recommended when auto-detection fails):

bash
bash scripts/run_pipeline.sh --language zh "<VIDEO_URL>" "<SLUG>"

The pipeline does two things:

  • Downloads audio as 16kHz mono WAV via ffmpeg
  • Transcribes with MLX Whisper, outputting VTT with timestamps
#### If the pipeline fails with HTTP 412 (stale signed URL)

This error occurs with /streaming/ URLs when the signed URL has expired. If browser automation returned a stale URL, retry by re-running browser automation to get a fresh URL, then retry the pipeline.

If browser automation is not available or fails, see references/troubleshooting.md for how to guide the user to manually extract the fresh URL from their browser.

Notes:

  • By default, language is auto-detected. For non-English content where detection fails, use --language.
  • If too slow or memory-heavy, try smaller models: mlx-community/whisper-medium or mlx-community/whisper-small.
  • If quality is poor, try the full model: mlx-community/whisper-large-v3 (slower but more accurate).
  • If --word-timestamps causes issues, the pipeline retries automatically without it.

Step 3 — Summarize

Write the final deliverable to ./out/gettr-transcribe-summarize//summary.md.

Pick a summary size (user-selectable):

  • Short: 5–8 bullets; (if outline) 4–6 sections
  • Medium (default): 8–20 bullets; (if outline) 6–15 sections
  • Detailed: 20–40 bullets; (if outline) 15–30 sections
Include:
  • Bullets (per size above)
  • Optional timestamped outline (per size above)
Timestamped outline format (default heading style):
text
[00:00 - 02:15] Section heading
- 1–3 sub-bullets

When building the outline from VTT cues:

  • Group adjacent cues into coherent sections.
  • Use the start time of the first cue and end time of the last cue in the section.

Bundled scripts

  • scripts/run_pipeline.sh: download + transcription pipeline (takes a video URL and slug)
  • scripts/extract_gettr_og_video.py: fetch GETTR HTML and extract the og:video URL (with retry/backoff)
  • scripts/download_audio.sh: download/extract audio from HLS or MP4 URL to 16kHz mono WAV

Error handling

  • Non-video posts: The extraction script detects image/text posts and provides a helpful error message.
  • Network errors: Automatic retry with exponential backoff (up to 3 attempts).
  • No audio track: The download script validates output and reports if the source has no audio.
  • HTTP 412 errors: Occurs with /streaming/ URLs when the signed URL has expired. Re-run browser automation to get a fresh URL (see Step 1); if that fails, see references/troubleshooting.md.

Troubleshooting

See references/troubleshooting.md for detailed solutions to common issues including:
  • HTTP 412 errors (stale signed URLs)
  • Extraction failures
  • Download errors
  • Transcription quality issues

Installation

Terminal bash

openclaw install gettr-transcribe-summarize
    
Copied!

💻Code Examples

bash scripts/run_pipeline.sh --language zh "<VIDEO_URL>" "<SLUG>"

bash-scriptsrunpipelinesh---language-zh-videourl-slug.txt
Common language codes: `zh` (Chinese), `en` (English), `ja` (Japanese), `ko` (Korean), `es` (Spanish), `fr` (French), `de` (German), `ru` (Russian).

This outputs:
- `./out/gettr-transcribe-summarize/<slug>/audio.wav`
- `./out/gettr-transcribe-summarize/<slug>/audio.vtt`

Then proceed to Step 3 (Summarize) to generate the final deliverable.

---

## Workflow (GETTR URL → transcript → summary)

### Inputs to confirm
Ask for:
- GETTR post URL
- Output format: **bullets only** or **bullets + timestamped outline**
- Summary size: **short**, **medium** (default), or **detailed**
- Language (optional): if the video is non-English and auto-detection fails, ask for the language code (e.g., `zh` for Chinese)

Notes:
- This skill does **not** handle authentication-gated GETTR posts.
- This skill does **not** translate; outputs stay in the video's original language.
- If transcription quality is poor or mixed with English, re-run with explicit `--language` flag.

### Prereqs (local)
- `mlx_whisper` installed and on PATH
- `ffmpeg` installed (recommended: `brew install ffmpeg`)

### Step 0 — Parse the slug and pick an output directory

Parse the slug directly from the GETTR URL — just read the last path segment, no script needed:
- `https://gettr.com/post/p1abc2def` → slug = `p1abc2def`
- `https://gettr.com/streaming/p3xyz789` → slug = `p3xyz789`

Output directory: `./out/gettr-transcribe-summarize/<slug>/`

Directory structure:
- `./out/gettr-transcribe-summarize/<slug>/audio.wav`
- `./out/gettr-transcribe-summarize/<slug>/audio.vtt`
- `./out/gettr-transcribe-summarize/<slug>/summary.md`

### Step 1 — Get the video URL

The approach depends on the URL type:

#### For `/post/` URLs — Use the extraction script

Run the extraction script to get the video URL from the post HTML:

python3 scripts/extract_gettr_og_video.py "<GETTR_POST_URL>"

python3-scriptsextractgettrogvideopy-gettrposturl.txt
This prints the best candidate video URL (often an HLS `.m3u8`) to stdout.

If extraction fails, ask the user to provide the `.m3u8`/MP4 URL directly (common if the post is private/gated or the HTML is dynamic).

#### For `/streaming/` URLs — Use browser automation directly

**Do not use the extraction script for streaming URLs.** The `og:video` URL from static HTML extraction is unreliable for streaming content — it either fails outright or the download stalls and fails near the end.

Instead, use browser automation to get a fresh, dynamically-signed URL:
1. Open the GETTR streaming URL and wait for the page to fully load (JavaScript must execute)
2. Extract the `og:video` meta tag content from the rendered DOM:

bash scripts/run_pipeline.sh --language zh "<VIDEO_URL>" "<SLUG>"

bash-scriptsrunpipelinesh---language-zh-videourl-slug.txt
The pipeline does two things:
1. Downloads audio as 16kHz mono WAV via ffmpeg
2. Transcribes with MLX Whisper, outputting VTT with timestamps

#### If the pipeline fails with HTTP 412 (stale signed URL)

This error occurs with `/streaming/` URLs when the signed URL has expired. If browser automation returned a stale URL, retry by re-running browser automation to get a fresh URL, then retry the pipeline.

If browser automation is not available or fails, see `references/troubleshooting.md` for how to guide the user to manually extract the fresh URL from their browser.

Notes:
- By default, language is auto-detected. For non-English content where detection fails, use `--language`.
- If too slow or memory-heavy, try smaller models: `mlx-community/whisper-medium` or `mlx-community/whisper-small`.
- If quality is poor, try the full model: `mlx-community/whisper-large-v3` (slower but more accurate).
- If `--word-timestamps` causes issues, the pipeline retries automatically without it.

### Step 3 — Summarize
Write the final deliverable to `./out/gettr-transcribe-summarize/<slug>/summary.md`.

Pick a **summary size** (user-selectable):
- **Short:** 5–8 bullets; (if outline) 4–6 sections
- **Medium (default):** 8–20 bullets; (if outline) 6–15 sections
- **Detailed:** 20–40 bullets; (if outline) 15–30 sections

Include:
- **Bullets** (per size above)
- Optional **timestamped outline** (per size above)

Timestamped outline format (default heading style):
example.sh
# 1. Parse the slug from the URL (just read it — no script needed)
#    https://gettr.com/post/p1abc2def  → slug = p1abc2def
#    https://gettr.com/streaming/p3xyz → slug = p3xyz

# 2. Get the video URL
#    For /post/ URLs: use the extraction script
python3 scripts/extract_gettr_og_video.py "<GETTR_POST_URL>"

#    For /streaming/ URLs: use browser automation directly (extraction script is unreliable)
#    See Step 1 below for browser automation instructions

# 3. Run download + transcription pipeline
bash scripts/run_pipeline.sh "<VIDEO_URL>" "<SLUG>"

Tags

#speech_and-transcription

Quick Info

Category Content Creation
Model Claude 3.5
Complexity One-Click
Author kevin37li
Last Updated 3/10/2026
🚀
Optimized for
Claude 3.5
🧠

Ready to Install?

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openclaw install gettr-transcribe-summarize