prepare media

Several reads of up to 20 library items, started in one call: transcript, search_index (a video’s moments, for search_footage), speech (where speech sits, read by remove_silence and duck_music), speakers, beats, levels (loudness). A read already stored answers ready and starts nothing; every other is queued as its own job, or answers skipped, refused or held (the computer reading it holds it back) with the reason, and the rest still start. job_ids goes to one get_jobs call; each read is stored on its item as its job succeeds, and transcribe_media, speakers, detect_beats and search_footage then return it free. estimate is the cloud minutes started and what is left. A repeat call starts nothing twice. Cloud processing.

POST

/

tools

/

prepare_media

prepare media

curl --request POST \
  --url https://eversince.ai/api/v1/tools/prepare_media \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "refs": [
    "<string>"
  ],
  "reads": []
}
'

import requests

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

payload = {
    "refs": ["<string>"],
    "reads": []
}
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({refs: ['<string>'], reads: []})
};

fetch('https://eversince.ai/api/v1/tools/prepare_media', 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

refs

string[]

required

1 to 20 items.

Required array length: 1 - 20 elements

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

reads

enum<string>[]

required

The reads to start. speakers reads speech too. One that does not apply to an item's type is skipped.

Minimum array length: 1

Available options:

transcript,

search_index,

speech,

speakers,

beats,

levels

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[]

prepare media

curl --request POST \
  --url https://eversince.ai/api/v1/tools/prepare_media \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "refs": [
    "<string>"
  ],
  "reads": []
}
'

import requests

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

payload = {
    "refs": ["<string>"],
    "reads": []
}
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({refs: ['<string>'], reads: []})
};

fetch('https://eversince.ai/api/v1/tools/prepare_media', 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>"
    }
  }
}