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HALOWERK Filler-Cut Audio Editor
x402
HALOWERK Filler-Cut Audio Editor is a paid API for AI agents from medien.halowerk.com, paid per call via x402, $0.02/call, status unknown (last checked 2026-10-31).
Removes filler words (uh, um, er, äh, ähm, hm, etc.) and shortens long pauses in an audio or video file, returning a clean edited audio file.
Price / call$0.02
Success—
StatusUnknown
How this service works
Takes an audio or video file of up to 60 minutes and returns an edited audio file without filler words and with long pauses shortened. Speech is recognised with filler-word detection; every uh, um, er, äh, ähm, hm and similar is cut at its word boundaries, and every pause longer than max_pause_seconds is shortened to keep_pause_seconds rather than removed, so the speech keeps its rhythm.
Output
An edited audio file (mp3, opus, wav, or flac as requested) with filler words cut at their word boundaries and long pauses shortened to the configured keep_pause_seconds duration, preserving the natural rhythm of the speech.
Example use cases
Podcast episode filler cleanup
“I just recorded a 42-minute solo podcast episode and it's full of ums and uhs. Can you clean it up by removing all the filler words and cutting any silence longer than 1.2 seconds down to 0.3 seconds? The file is at https://mypodcast.com/raw/ep45.mp3 — give me back an mp3.”
German interview audio polish
“I have a 20-minute German interview recording at https://example.com/interview_de.wav with lots of 'äh' and 'ähm' throughout. Please remove those filler words and shorten pauses over 1 second to 0.4 seconds, output as mp3.”
Corporate presentation rehearsal cleanup
“Please clean up this 15-minute rehearsal recording of my presentation at https://files.example.com/rehearsal.mp4 — strip out all the filler words and tighten up any pauses longer than 0.8 seconds to 0.3 seconds. I'd like a wav file back.”
Technical details
Endpoint
POSThttps://medien.halowerk.com/v1/filler-cut?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need automated, programmatic removal of filler words (uh, um, er, äh, ähm) and silence trimming from audio or video recordings up to 60 minutes, especially in an agentic pipeline where no manual DAW editing is practical. It supports multilingual filler detection and custom filler word lists, making it suitable for both English and German content. Prefer this over manual editing tools when processing speed and automation matter, and over generic audio processing APIs when filler-word-specific speech recognition and natural rhythm preservation are required.
Side effects
- File exceeds 60-minute limit — request rejected
- duration_minutes field mismatch causes billing or processing error
- Unsupported audio/video format causes decoding failure
- Public URL inaccessible or returns non-media content
- base64 payload too large for inline submission — should use URL instead
- Language detection fails on low-quality or noisy audio
- Network timeout for very large files fetched by URL
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| source | object | The recording. Either url or content_base64. |
| language | string | Spoken language (BCP-47). Omit to detect. |
| cut_fillers | boolean | |
| extra_fillers | array | Additional single words to cut, e.g. "halt" or "like". Use with care. |
| output_format | string | |
| duration_minutes | integer | Length in started minutes — this is what you are billed for. |
| max_pause_seconds | number | Pauses longer than this are shortened. |
| keep_pause_seconds | number | Length a shortened pause keeps. |
Tags
x402
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