---
title: "Get Transcript By Id"
method: GET
path: "/v1/speech-to-text/transcripts/{transcription_id}"
tags: ["speech-to-text"]
---

# Get Transcript By Id

`GET /v1/speech-to-text/transcripts/{transcription_id}`

Retrieve a previously generated transcript by its ID.

## Path parameters

- `transcription_id` string, required — The unique ID of the transcript to retrieve

## Headers

- `xi-api-key` string, nullable — Your API key. This is required by most endpoints to access our API programmatically. You can view your xi-api-key using the 'Profile' tab on the website.

## Response `200`

The transcript data

- union
  - union — Chunk-level detail of the transcription with timing information.
    - object — Chunk-level detail of the transcription with timing information.
      - `language_code` string, required — The detected language code (e.g. 'eng' for English).
      - `language_probability` number, required — The confidence score of the language detection (0 to 1).
      - `text` string, required — The raw text of the transcription.
      - `words` SpeechToTextWordResponseModel[], required — List of words with their timing information.
        - `text` string, required — The word or sound that was transcribed.
        - `start` number, nullable — The start time of the word or sound in seconds.
        - `end` number, nullable — The end time of the word or sound in seconds.
        - `type` 'word' | 'spacing' | 'audio_event', required — The type of the word or sound. 'audio_event' is used for non-word sounds like laughter or footsteps.
        - `speaker_id` string, nullable — Unique identifier for the speaker of this word.
        - `logprob` number, required — The log of the probability with which this word was predicted. Logprobs are in range [-infinity, 0], higher logprobs indicate a higher confidence the model has in its predictions.
        - `characters` SpeechToTextCharacterResponseModel[], nullable — The characters that make up the word and their timing information.
          - `text` string, required — The character that was transcribed.
          - `start` number, nullable — The start time of the character in seconds.
          - `end` number, nullable — The end time of the character in seconds.
        - `channel_index` integer, nullable — The channel this word was spoken on (for multichannel audio). Null for single-channel transcriptions.
      - `channel_index` integer
      - `additional_formats` AdditionalFormatResponseModel[]
        - `requested_format` string, required — The requested format.
        - `file_extension` string, required — The file extension of the additional format.
        - `content_type` string, required — The content type of the additional format.
        - `is_base64_encoded` boolean, required — Whether the content is base64 encoded.
        - `content` string, required — The content of the additional format.
      - `transcription_id` string
      - `entities` DetectedEntity[]
        - `text` string, required — The text that was identified as an entity.
        - `entity_type` string, required — The type of entity detected (e.g., 'credit_card', 'email_address', 'person_name').
        - `start_char` integer, required — Start character position in the transcript text.
        - `end_char` integer, required — End character position in the transcript text.
      - `audio_duration_secs` number
    - object — Response model for multichannel speech-to-text transcription.
      - `transcripts` SpeechToTextChunkResponseModel[], required — List of transcripts, one for each audio channel. Each transcript contains the text and word-level details for its respective channel.
        - `language_code` string, required — The detected language code (e.g. 'eng' for English).
        - `language_probability` number, required — The confidence score of the language detection (0 to 1).
        - `text` string, required — The raw text of the transcription.
        - `words` SpeechToTextWordResponseModel[], required — List of words with their timing information.
          - `text` string, required — The word or sound that was transcribed.
          - `start` number, nullable — The start time of the word or sound in seconds.
          - `end` number, nullable — The end time of the word or sound in seconds.
          - `type` 'word' | 'spacing' | 'audio_event', required — The type of the word or sound. 'audio_event' is used for non-word sounds like laughter or footsteps.
          - `speaker_id` string, nullable — Unique identifier for the speaker of this word.
          - `logprob` number, required — The log of the probability with which this word was predicted. Logprobs are in range [-infinity, 0], higher logprobs indicate a higher confidence the model has in its predictions.
          - `characters` SpeechToTextCharacterResponseModel[], nullable — The characters that make up the word and their timing information.
            - `text` string, required — The character that was transcribed.
            - `start` number, nullable — The start time of the character in seconds.
            - `end` number, nullable — The end time of the character in seconds.
          - `channel_index` integer, nullable — The channel this word was spoken on (for multichannel audio). Null for single-channel transcriptions.
        - `channel_index` integer, nullable — The channel index this transcript belongs to (for multichannel audio).
        - `additional_formats` AdditionalFormatResponseModel[], nullable — Requested additional formats of the transcript.
          - `requested_format` string, required — The requested format.
          - `file_extension` string, required — The file extension of the additional format.
          - `content_type` string, required — The content type of the additional format.
          - `is_base64_encoded` boolean, required — Whether the content is base64 encoded.
          - `content` string, required — The content of the additional format.
        - `transcription_id` string, nullable — The transcription ID of the response.
        - `entities` DetectedEntity[], nullable — List of detected entities with their text, type, and character positions in the transcript.
          - `text` string, required — The text that was identified as an entity.
          - `entity_type` string, required — The type of entity detected (e.g., 'credit_card', 'email_address', 'person_name').
          - `start_char` integer, required — Start character position in the transcript text.
          - `end_char` integer, required — End character position in the transcript text.
        - `audio_duration_secs` number, nullable — The duration of the audio that was transcribed in seconds.
      - `transcription_id` string
      - `audio_duration_secs` number
      - `language_code` string, required — The detected language code (e.g. 'eng' for English).
      - `language_probability` number, required — The confidence score of the language detection (0 to 1).
      - `text` string, required — The raw text of the transcription.
      - `words` SpeechToTextWordResponseModel[], required — List of words with their timing information.
        - `text` string, required — The word or sound that was transcribed.
        - `start` number, nullable — The start time of the word or sound in seconds.
        - `end` number, nullable — The end time of the word or sound in seconds.
        - `type` 'word' | 'spacing' | 'audio_event', required — The type of the word or sound. 'audio_event' is used for non-word sounds like laughter or footsteps.
        - `speaker_id` string, nullable — Unique identifier for the speaker of this word.
        - `logprob` number, required — The log of the probability with which this word was predicted. Logprobs are in range [-infinity, 0], higher logprobs indicate a higher confidence the model has in its predictions.
        - `characters` SpeechToTextCharacterResponseModel[], nullable — The characters that make up the word and their timing information.
          - `text` string, required — The character that was transcribed.
          - `start` number, nullable — The start time of the character in seconds.
          - `end` number, nullable — The end time of the character in seconds.
        - `channel_index` integer, nullable — The channel this word was spoken on (for multichannel audio). Null for single-channel transcriptions.
      - `channel_index` integer, nullable — The channel index this transcript belongs to (for multichannel audio).
      - `additional_formats` AdditionalFormatResponseModel[], nullable — Requested additional formats of the transcript.
        - `requested_format` string, required — The requested format.
        - `file_extension` string, required — The file extension of the additional format.
        - `content_type` string, required — The content type of the additional format.
        - `is_base64_encoded` boolean, required — Whether the content is base64 encoded.
        - `content` string, required — The content of the additional format.
      - `entities` DetectedEntity[], nullable — List of detected entities with their text, type, and character positions in the transcript.
        - `text` string, required — The text that was identified as an entity.
        - `entity_type` string, required — The type of entity detected (e.g., 'credit_card', 'email_address', 'person_name').
        - `start_char` integer, required — Start character position in the transcript text.
        - `end_char` integer, required — End character position in the transcript text.
  - union — Response model for multichannel speech-to-text transcription.
    - object — Chunk-level detail of the transcription with timing information.
      - `language_code` string, required — The detected language code (e.g. 'eng' for English).
      - `language_probability` number, required — The confidence score of the language detection (0 to 1).
      - `text` string, required — The raw text of the transcription.
      - `words` SpeechToTextWordResponseModel[], required — List of words with their timing information.
        - `text` string, required — The word or sound that was transcribed.
        - `start` number, nullable — The start time of the word or sound in seconds.
        - `end` number, nullable — The end time of the word or sound in seconds.
        - `type` 'word' | 'spacing' | 'audio_event', required — The type of the word or sound. 'audio_event' is used for non-word sounds like laughter or footsteps.
        - `speaker_id` string, nullable — Unique identifier for the speaker of this word.
        - `logprob` number, required — The log of the probability with which this word was predicted. Logprobs are in range [-infinity, 0], higher logprobs indicate a higher confidence the model has in its predictions.
        - `characters` SpeechToTextCharacterResponseModel[], nullable — The characters that make up the word and their timing information.
          - `text` string, required — The character that was transcribed.
          - `start` number, nullable — The start time of the character in seconds.
          - `end` number, nullable — The end time of the character in seconds.
        - `channel_index` integer, nullable — The channel this word was spoken on (for multichannel audio). Null for single-channel transcriptions.
      - `channel_index` integer, nullable — The channel index this transcript belongs to (for multichannel audio).
      - `additional_formats` AdditionalFormatResponseModel[], nullable — Requested additional formats of the transcript.
        - `requested_format` string, required — The requested format.
        - `file_extension` string, required — The file extension of the additional format.
        - `content_type` string, required — The content type of the additional format.
        - `is_base64_encoded` boolean, required — Whether the content is base64 encoded.
        - `content` string, required — The content of the additional format.
      - `transcription_id` string
      - `entities` DetectedEntity[], nullable — List of detected entities with their text, type, and character positions in the transcript.
        - `text` string, required — The text that was identified as an entity.
        - `entity_type` string, required — The type of entity detected (e.g., 'credit_card', 'email_address', 'person_name').
        - `start_char` integer, required — Start character position in the transcript text.
        - `end_char` integer, required — End character position in the transcript text.
      - `audio_duration_secs` number
      - `transcripts` SpeechToTextChunkResponseModel[], required — List of transcripts, one for each audio channel. Each transcript contains the text and word-level details for its respective channel.
        - `language_code` string, required — The detected language code (e.g. 'eng' for English).
        - `language_probability` number, required — The confidence score of the language detection (0 to 1).
        - `text` string, required — The raw text of the transcription.
        - `words` SpeechToTextWordResponseModel[], required — List of words with their timing information.
          - `text` string, required — The word or sound that was transcribed.
          - `start` number, nullable — The start time of the word or sound in seconds.
          - `end` number, nullable — The end time of the word or sound in seconds.
          - `type` 'word' | 'spacing' | 'audio_event', required — The type of the word or sound. 'audio_event' is used for non-word sounds like laughter or footsteps.
          - `speaker_id` string, nullable — Unique identifier for the speaker of this word.
          - `logprob` number, required — The log of the probability with which this word was predicted. Logprobs are in range [-infinity, 0], higher logprobs indicate a higher confidence the model has in its predictions.
          - `characters` SpeechToTextCharacterResponseModel[], nullable — The characters that make up the word and their timing information.
            - `text` string, required — The character that was transcribed.
            - `start` number, nullable — The start time of the character in seconds.
            - `end` number, nullable — The end time of the character in seconds.
          - `channel_index` integer, nullable — The channel this word was spoken on (for multichannel audio). Null for single-channel transcriptions.
        - `channel_index` integer, nullable — The channel index this transcript belongs to (for multichannel audio).
        - `additional_formats` AdditionalFormatResponseModel[], nullable — Requested additional formats of the transcript.
          - `requested_format` string, required — The requested format.
          - `file_extension` string, required — The file extension of the additional format.
          - `content_type` string, required — The content type of the additional format.
          - `is_base64_encoded` boolean, required — Whether the content is base64 encoded.
          - `content` string, required — The content of the additional format.
        - `transcription_id` string, nullable — The transcription ID of the response.
        - `entities` DetectedEntity[], nullable — List of detected entities with their text, type, and character positions in the transcript.
          - `text` string, required — The text that was identified as an entity.
          - `entity_type` string, required — The type of entity detected (e.g., 'credit_card', 'email_address', 'person_name').
          - `start_char` integer, required — Start character position in the transcript text.
          - `end_char` integer, required — End character position in the transcript text.
        - `audio_duration_secs` number, nullable — The duration of the audio that was transcribed in seconds.
    - object — Response model for multichannel speech-to-text transcription.
      - `transcripts` SpeechToTextChunkResponseModel[], required — List of transcripts, one for each audio channel. Each transcript contains the text and word-level details for its respective channel.
        - `language_code` string, required — The detected language code (e.g. 'eng' for English).
        - `language_probability` number, required — The confidence score of the language detection (0 to 1).
        - `text` string, required — The raw text of the transcription.
        - `words` SpeechToTextWordResponseModel[], required — List of words with their timing information.
          - `text` string, required — The word or sound that was transcribed.
          - `start` number, nullable — The start time of the word or sound in seconds.
          - `end` number, nullable — The end time of the word or sound in seconds.
          - `type` 'word' | 'spacing' | 'audio_event', required — The type of the word or sound. 'audio_event' is used for non-word sounds like laughter or footsteps.
          - `speaker_id` string, nullable — Unique identifier for the speaker of this word.
          - `logprob` number, required — The log of the probability with which this word was predicted. Logprobs are in range [-infinity, 0], higher logprobs indicate a higher confidence the model has in its predictions.
          - `characters` SpeechToTextCharacterResponseModel[], nullable — The characters that make up the word and their timing information.
            - `text` string, required — The character that was transcribed.
            - `start` number, nullable — The start time of the character in seconds.
            - `end` number, nullable — The end time of the character in seconds.
          - `channel_index` integer, nullable — The channel this word was spoken on (for multichannel audio). Null for single-channel transcriptions.
        - `channel_index` integer, nullable — The channel index this transcript belongs to (for multichannel audio).
        - `additional_formats` AdditionalFormatResponseModel[], nullable — Requested additional formats of the transcript.
          - `requested_format` string, required — The requested format.
          - `file_extension` string, required — The file extension of the additional format.
          - `content_type` string, required — The content type of the additional format.
          - `is_base64_encoded` boolean, required — Whether the content is base64 encoded.
          - `content` string, required — The content of the additional format.
        - `transcription_id` string, nullable — The transcription ID of the response.
        - `entities` DetectedEntity[], nullable — List of detected entities with their text, type, and character positions in the transcript.
          - `text` string, required — The text that was identified as an entity.
          - `entity_type` string, required — The type of entity detected (e.g., 'credit_card', 'email_address', 'person_name').
          - `start_char` integer, required — Start character position in the transcript text.
          - `end_char` integer, required — End character position in the transcript text.
        - `audio_duration_secs` number, nullable — The duration of the audio that was transcribed in seconds.
      - `transcription_id` string
      - `audio_duration_secs` number

## Other responses

- `401` — Authentication required
- `404` — Transcript not found
- `422` — Validation Error

---

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