clean audio

Clean the sound of an audio or video item. mode “denoise” (default) keeps the voice and lowers everything else: fan, traffic, hiss, keyboard, distant chatter, and music under the speech; mode “isolate_voice” rebuilds the speech alone, which also removes reverb. Cloud processing; returns a job, and a new item lands beside the original, a video keeping its picture. Files up to three hours long (isolate_voice: one hour). With timeline_id and clip_id the new item is sound alone and replaces the clip’s sound when it lands, at any size: an audio clip takes it in its slot, a video clip’s sound moves to a detached audio clip, trim and words kept. Through the desktop app, a file on this computer is cleaned at any size. Only a video over 1.7GB (isolate_voice: 350MB) cleaned whole in the cloud is refused. A cleaned recording then takes levelling (level_audio), silences and fillers cut (remove_silence, remove_words) and captions on a timeline.

POST

/

tools

/

clean_audio

clean audio

curl --request POST \
  --url https://eversince.ai/api/v1/tools/clean_audio \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "ref": "<string>"
}
'

import requests

url = "https://eversince.ai/api/v1/tools/clean_audio"

payload = { "ref": "<string>" }
headers = {
    "Authorization": "Bearer <token>",
    "Content-Type": "application/json"
}

response = requests.post(url, json=payload, headers=headers)

print(response.text)

const options = {
  method: 'POST',
  headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
  body: JSON.stringify({ref: '<string>'})
};

fetch('https://eversince.ai/api/v1/tools/clean_audio', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

{
  "ok": true,
  "data": {},
  "meta": {
    "request_id": "<string>",
    "cost": {},
    "cloud_processing": {
      "ran_on": "cloud",
      "minutes": 123,
      "charged_minutes": 123,
      "queued_minutes": 123,
      "left_minutes": 123,
      "held_minutes": 123,
      "bought_minutes": 123,
      "note": "<string>"
    }
  },
  "media": [
    {}
  ]
}

{
  "ok": false,
  "error": {
    "code": "<string>",
    "message": "<string>",
    "retryable": true,
    "suggested_action": "<string>",
    "cloud_processing": {
      "ran_on": "cloud",
      "minutes": 123,
      "charged_minutes": 123,
      "queued_minutes": 123,
      "left_minutes": 123,
      "held_minutes": 123,
      "bought_minutes": 123,
      "note": "<string>"
    }
  }
}

Authorizations

Authorization

string

header

required

An API key (es_live_…) from Settings, under API keys, or an OAuth access token.

Headers

Idempotency-Key

string

Retry a paid dispatch safely: the same key returns the job already dispatched instead of charging again.

x-workspace-id

string

The workspace this one call acts in, when it is not the default: for a key or a connected agent, one of the workspaces the user allowed it.

Body

application/json

ref

string

required

An item ref, item id, or the job id that made it.

mode

enum<string>

denoise (default): keep the voice, lower noise and any music. isolate_voice: keep only the speech; removes reverb and music.

Available options:

denoise,

isolate_voice

strength

number

denoise only: how much of the cleaned sound to keep, 0 to 1. Default 0.85; 1 removes the most noise and can take quiet speech with it.

Required range: 0 <= x <= 1

timeline_id

string

With clip_id: the result is attached to this timeline and takes the clip's slot when it lands.

clip_id

string

The clip on timeline_id whose sound this replaces, audio or video.

context

string

Optional: one sentence shown to the user beside this action.

Maximum string length: 600

Response

Done, or a job started for work that runs longer (follow it with get_jobs).

ok

any

required

data

object

required

meta

object

required

Show child attributes

media

object[]

clean audio

curl --request POST \
  --url https://eversince.ai/api/v1/tools/clean_audio \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "ref": "<string>"
}
'

import requests

url = "https://eversince.ai/api/v1/tools/clean_audio"

payload = { "ref": "<string>" }
headers = {
    "Authorization": "Bearer <token>",
    "Content-Type": "application/json"
}

response = requests.post(url, json=payload, headers=headers)

print(response.text)

const options = {
  method: 'POST',
  headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
  body: JSON.stringify({ref: '<string>'})
};

fetch('https://eversince.ai/api/v1/tools/clean_audio', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

{
  "ok": true,
  "data": {},
  "meta": {
    "request_id": "<string>",
    "cost": {},
    "cloud_processing": {
      "ran_on": "cloud",
      "minutes": 123,
      "charged_minutes": 123,
      "queued_minutes": 123,
      "left_minutes": 123,
      "held_minutes": 123,
      "bought_minutes": 123,
      "note": "<string>"
    }
  },
  "media": [
    {}
  ]
}

{
  "ok": false,
  "error": {
    "code": "<string>",
    "message": "<string>",
    "retryable": true,
    "suggested_action": "<string>",
    "cloud_processing": {
      "ran_on": "cloud",
      "minutes": 123,
      "charged_minutes": 123,
      "queued_minutes": 123,
      "left_minutes": 123,
      "held_minutes": 123,
      "bought_minutes": 123,
      "note": "<string>"
    }
  }
}