Import an external interview transcript

import requests

url = "https://eu.app.clarifeye.ai/api/v1/projects/{project_id}/interviews/import-transcript/"

payload = {
    "transcript": "<string>",
    "title": "<string>",
    "interview_date": "2023-12-25",
    "participants": ["<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({
    transcript: '<string>',
    title: '<string>',
    interview_date: '2023-12-25',
    participants: ['<string>']
  })
};

fetch('https://eu.app.clarifeye.ai/api/v1/projects/{project_id}/interviews/import-transcript/', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

curl --request POST \
  --url https://eu.app.clarifeye.ai/api/v1/projects/{project_id}/interviews/import-transcript/ \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "transcript": "<string>",
  "title": "<string>",
  "interview_date": "2023-12-25",
  "participants": [
    "<string>"
  ]
}
'

{
  "id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
  "name": "<string>",
  "created_by": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
  "created_by_email": "[email protected]",
  "type": "<string>",
  "type_additional_parameters": {},
  "chat_history": [
    {}
  ],
  "chat_memory": {},
  "local_documents": [
    "3c90c3cc-0d44-4b50-8888-8dd25736052a"
  ],
  "assigned_to": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
  "assigned_by": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
  "assigned_to_email": "[email protected]",
  "assigned_by_email": "[email protected]",
  "is_pending_invite": true,
  "topics": [
    {
      "title": "<string>",
      "description": "<string>",
      "skill_id": "<string>"
    }
  ],
  "campaign": {
    "id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
    "name": "<string>"
  },
  "import_info": {
    "participants": [
      "<string>"
    ],
    "interview_date": "2023-12-25",
    "error": "<string>"
  },
  "created_at": "2023-11-07T05:31:56Z",
  "updated_at": "2023-11-07T05:31:56Z"
}

{
  "error": "User not found"
}

{
  "error": "Authentication credentials were not provided."
}

{
  "error": "You do not have permission to perform this action."
}

{
  "error": "Not found."
}

Interviews

Import an external interview transcript

Import the transcript of an interview recorded outside the platform (e.g. a Granola/Teams/Zoom export). Admin only.

Creates a read-only interview (type “imported-interview”) and enqueues an async parse that turns the raw text into speaker-labeled chat_history messages plus inferred metadata. The response returns immediately with import_info.import_status = "parsing"; poll the interview detail endpoint until it is “ready” (status becomes “completed”) before reading the transcript. All metadata fields are optional — anything omitted is inferred from the transcript; importer-supplied values always win.

To import several transcripts, call this endpoint once per transcript — each import becomes its own interview and parses independently.

POST

projects

{project_id}

interviews

import-transcript

Import an external interview transcript

import requests

url = "https://eu.app.clarifeye.ai/api/v1/projects/{project_id}/interviews/import-transcript/"

payload = {
    "transcript": "<string>",
    "title": "<string>",
    "interview_date": "2023-12-25",
    "participants": ["<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({
    transcript: '<string>',
    title: '<string>',
    interview_date: '2023-12-25',
    participants: ['<string>']
  })
};

fetch('https://eu.app.clarifeye.ai/api/v1/projects/{project_id}/interviews/import-transcript/', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

curl --request POST \
  --url https://eu.app.clarifeye.ai/api/v1/projects/{project_id}/interviews/import-transcript/ \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "transcript": "<string>",
  "title": "<string>",
  "interview_date": "2023-12-25",
  "participants": [
    "<string>"
  ]
}
'

{
  "id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
  "name": "<string>",
  "created_by": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
  "created_by_email": "[email protected]",
  "type": "<string>",
  "type_additional_parameters": {},
  "chat_history": [
    {}
  ],
  "chat_memory": {},
  "local_documents": [
    "3c90c3cc-0d44-4b50-8888-8dd25736052a"
  ],
  "assigned_to": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
  "assigned_by": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
  "assigned_to_email": "[email protected]",
  "assigned_by_email": "[email protected]",
  "is_pending_invite": true,
  "topics": [
    {
      "title": "<string>",
      "description": "<string>",
      "skill_id": "<string>"
    }
  ],
  "campaign": {
    "id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
    "name": "<string>"
  },
  "import_info": {
    "participants": [
      "<string>"
    ],
    "interview_date": "2023-12-25",
    "error": "<string>"
  },
  "created_at": "2023-11-07T05:31:56Z",
  "updated_at": "2023-11-07T05:31:56Z"
}

{
  "error": "User not found"
}

{
  "error": "Authentication credentials were not provided."
}

{
  "error": "You do not have permission to perform this action."
}

{
  "error": "Not found."
}

Authorizations

Authorization

string

header

required

Use Authorization: Bearer

Path Parameters

project_id

string<uuid>

required

UUID of the project

Body

application/json

transcript

string

required

The full raw transcript text, verbatim (200 to 1,500,000 characters).

title

string

Optional interview title.

interview_date

string<date>

Optional date the interview happened (YYYY-MM-DD).

participants

string[]

Optional participant names.

Response

Interview created; parsing in progress

A structured interview conversation, including its full transcript.

string<uuid>

read-only

name

string | null

Interview title (auto-generated from the topic when not provided).

created_by

string<uuid>

read-only

UUID of the user who created the interview.

created_by_email

string<email> | null

read-only

Email of the user who created the interview (the importer, for imported interviews).

type

string

Conversation type: "interview" (standard), "guided-interview" (multi-topic), or "imported-interview" (a read-only transcript of an interview recorded outside the platform, created via the import-transcript endpoint).

type_additional_parameters

object

Free-form parameters associated with the conversation type.

chat_history

object[]

Ordered list of transcript entries (messages, tool calls, etc.).

chat_memory

object

Assistant memory state accumulated over the conversation.

local_documents

string<uuid>[]

read-only

UUIDs of documents scoped locally to this interview.

assigned_to

string<uuid> | null

read-only

UUID of the assigned user (null while a pending invite has not yet joined).

assigned_by

string<uuid> | null

read-only

UUID of the user who created the assignment.

assigned_to_email

string<email> | null

read-only

Assignee email, falling back to the invite email for not-yet-joined invitees.

assigned_by_email

string<email> | null

read-only

is_pending_invite

boolean

read-only

True when assigned to someone who has not yet joined the project.

topics

object[]

read-only

Guided interviews only: the ordered topic agenda seeded at assign time, with per-topic progress. Empty for every other interview type.

Show child attributes

campaign

object | null

Campaign this interview belongs to; null for ad hoc interviews.

Show child attributes

import_info

object | null

Parse-pipeline state of an imported external transcript (interviews of type "imported-interview"). Null on every other interview type. The raw submitted transcript is never returned — the parsed chat_history is the transcript.

Show child attributes

status

enum<string> | null

read-only

Null for imported interviews until their transcript parse completes.

Available options:

pending,

in_progress,

completed

write_scope

enum<string>

Whether edits stay local to the conversation or write to the shared knowledge store.

Available options:

local,

global

created_at

string<date-time>

read-only

updated_at

string<date-time>

read-only

Retrieve interview content List interview campaigns