Twitter Video Caption
curl --request POST \
--url https://mavi-backend.memories.ai/serve/api/v2/twitter/video/mai/transcript \
--header 'Authorization: <api-key>' \
--header 'Content-Type: application/json' \
--data '
{
"video_url": "https://x.com/NBCOlympics/status/1989901761650323606"
}
'import requests
url = "https://mavi-backend.memories.ai/serve/api/v2/twitter/video/mai/transcript"
payload = { "video_url": "https://x.com/NBCOlympics/status/1989901761650323606" }
headers = {
"Authorization": "<api-key>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {Authorization: '<api-key>', 'Content-Type': 'application/json'},
body: JSON.stringify({video_url: 'https://x.com/NBCOlympics/status/1989901761650323606'})
};
fetch('https://mavi-backend.memories.ai/serve/api/v2/twitter/video/mai/transcript', options)
.then(res => res.json())
.then(res => console.log(res))
.catch(err => console.error(err));<?php
$curl = curl_init();
curl_setopt_array($curl, [
CURLOPT_URL => "https://mavi-backend.memories.ai/serve/api/v2/twitter/video/mai/transcript",
CURLOPT_RETURNTRANSFER => true,
CURLOPT_ENCODING => "",
CURLOPT_MAXREDIRS => 10,
CURLOPT_TIMEOUT => 30,
CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
CURLOPT_CUSTOMREQUEST => "POST",
CURLOPT_POSTFIELDS => json_encode([
'video_url' => 'https://x.com/NBCOlympics/status/1989901761650323606'
]),
CURLOPT_HTTPHEADER => [
"Authorization: <api-key>",
"Content-Type: application/json"
],
]);
$response = curl_exec($curl);
$err = curl_error($curl);
curl_close($curl);
if ($err) {
echo "cURL Error #:" . $err;
} else {
echo $response;
}package main
import (
"fmt"
"strings"
"net/http"
"io"
)
func main() {
url := "https://mavi-backend.memories.ai/serve/api/v2/twitter/video/mai/transcript"
payload := strings.NewReader("{\n \"video_url\": \"https://x.com/NBCOlympics/status/1989901761650323606\"\n}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("Authorization", "<api-key>")
req.Header.Add("Content-Type", "application/json")
res, _ := http.DefaultClient.Do(req)
defer res.Body.Close()
body, _ := io.ReadAll(res.Body)
fmt.Println(string(body))
}HttpResponse<String> response = Unirest.post("https://mavi-backend.memories.ai/serve/api/v2/twitter/video/mai/transcript")
.header("Authorization", "<api-key>")
.header("Content-Type", "application/json")
.body("{\n \"video_url\": \"https://x.com/NBCOlympics/status/1989901761650323606\"\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://mavi-backend.memories.ai/serve/api/v2/twitter/video/mai/transcript")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["Authorization"] = '<api-key>'
request["Content-Type"] = 'application/json'
request.body = "{\n \"video_url\": \"https://x.com/NBCOlympics/status/1989901761650323606\"\n}"
response = http.request(request)
puts response.read_body{
"code": 200,
"msg": "success",
"data": {
"task_id": "1cd78354af824c8eb1dafe4ed2435720"
},
"failed": false,
"success": true
}
{
"code": 200,
"message": "SUCCESS",
"data": {
"videoTranscript": {
"data": {
"data": [
{
"end_time": 19.0,
"start_time": 0.0,
"transcript": "A man in a blue jacket and red gloves sits between two women, all three looking at something off-screen. The man gestures with his hands, then covers his mouth in surprise, his eyes wide. The women on either side of him smile and laugh, one patting his arm. The man then throws his hands up in excitement, then covers his face with his red-gloved hands, appearing to cry tears of joy. The women continue to smile and laugh, one of them patting his shoulder."
}
],
"error_rate": 0.0,
"usage_metadata": {
"duration": 0.0,
"model": "gemini-2.5-flash",
"output_tokens": 153,
"prompt_tokens": 7009
}
},
"msg": "Video transcription completed successfully",
"success": true
},
"audioTranscript": {
"data": {
"data": [
{
"end_time": 3.0,
"speaker": null,
"start_time": 0.0,
"text": " Wait for his reaction."
},
{
"end_time": 5.0,
"speaker": null,
"start_time": 3.0,
"text": " Yes, first place."
},
{
"end_time": 7.0,
"speaker": null,
"start_time": 5.0,
"text": " Ah!"
}
],
"usage_metadata": {
"duration": 18.304,
"model": "whisper-1",
"output_tokens": 0,
"prompt_tokens": 0
}
},
"msg": "ASR transcription completed successfully",
"success": true
}
},
"task_id": "3adc70ed358b469da2c0553a59c5f2c5"
}
Twitter
Twitter Video Caption
Get Twitter video caption.
POST
/
twitter
/
video
/
mai
/
transcript
Twitter Video Caption
curl --request POST \
--url https://mavi-backend.memories.ai/serve/api/v2/twitter/video/mai/transcript \
--header 'Authorization: <api-key>' \
--header 'Content-Type: application/json' \
--data '
{
"video_url": "https://x.com/NBCOlympics/status/1989901761650323606"
}
'import requests
url = "https://mavi-backend.memories.ai/serve/api/v2/twitter/video/mai/transcript"
payload = { "video_url": "https://x.com/NBCOlympics/status/1989901761650323606" }
headers = {
"Authorization": "<api-key>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {Authorization: '<api-key>', 'Content-Type': 'application/json'},
body: JSON.stringify({video_url: 'https://x.com/NBCOlympics/status/1989901761650323606'})
};
fetch('https://mavi-backend.memories.ai/serve/api/v2/twitter/video/mai/transcript', options)
.then(res => res.json())
.then(res => console.log(res))
.catch(err => console.error(err));<?php
$curl = curl_init();
curl_setopt_array($curl, [
CURLOPT_URL => "https://mavi-backend.memories.ai/serve/api/v2/twitter/video/mai/transcript",
CURLOPT_RETURNTRANSFER => true,
CURLOPT_ENCODING => "",
CURLOPT_MAXREDIRS => 10,
CURLOPT_TIMEOUT => 30,
CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
CURLOPT_CUSTOMREQUEST => "POST",
CURLOPT_POSTFIELDS => json_encode([
'video_url' => 'https://x.com/NBCOlympics/status/1989901761650323606'
]),
CURLOPT_HTTPHEADER => [
"Authorization: <api-key>",
"Content-Type: application/json"
],
]);
$response = curl_exec($curl);
$err = curl_error($curl);
curl_close($curl);
if ($err) {
echo "cURL Error #:" . $err;
} else {
echo $response;
}package main
import (
"fmt"
"strings"
"net/http"
"io"
)
func main() {
url := "https://mavi-backend.memories.ai/serve/api/v2/twitter/video/mai/transcript"
payload := strings.NewReader("{\n \"video_url\": \"https://x.com/NBCOlympics/status/1989901761650323606\"\n}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("Authorization", "<api-key>")
req.Header.Add("Content-Type", "application/json")
res, _ := http.DefaultClient.Do(req)
defer res.Body.Close()
body, _ := io.ReadAll(res.Body)
fmt.Println(string(body))
}HttpResponse<String> response = Unirest.post("https://mavi-backend.memories.ai/serve/api/v2/twitter/video/mai/transcript")
.header("Authorization", "<api-key>")
.header("Content-Type", "application/json")
.body("{\n \"video_url\": \"https://x.com/NBCOlympics/status/1989901761650323606\"\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://mavi-backend.memories.ai/serve/api/v2/twitter/video/mai/transcript")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["Authorization"] = '<api-key>'
request["Content-Type"] = 'application/json'
request.body = "{\n \"video_url\": \"https://x.com/NBCOlympics/status/1989901761650323606\"\n}"
response = http.request(request)
puts response.read_body{
"code": 200,
"msg": "success",
"data": {
"task_id": "1cd78354af824c8eb1dafe4ed2435720"
},
"failed": false,
"success": true
}
{
"code": 200,
"message": "SUCCESS",
"data": {
"videoTranscript": {
"data": {
"data": [
{
"end_time": 19.0,
"start_time": 0.0,
"transcript": "A man in a blue jacket and red gloves sits between two women, all three looking at something off-screen. The man gestures with his hands, then covers his mouth in surprise, his eyes wide. The women on either side of him smile and laugh, one patting his arm. The man then throws his hands up in excitement, then covers his face with his red-gloved hands, appearing to cry tears of joy. The women continue to smile and laugh, one of them patting his shoulder."
}
],
"error_rate": 0.0,
"usage_metadata": {
"duration": 0.0,
"model": "gemini-2.5-flash",
"output_tokens": 153,
"prompt_tokens": 7009
}
},
"msg": "Video transcription completed successfully",
"success": true
},
"audioTranscript": {
"data": {
"data": [
{
"end_time": 3.0,
"speaker": null,
"start_time": 0.0,
"text": " Wait for his reaction."
},
{
"end_time": 5.0,
"speaker": null,
"start_time": 3.0,
"text": " Yes, first place."
},
{
"end_time": 7.0,
"speaker": null,
"start_time": 5.0,
"text": " Ah!"
}
],
"usage_metadata": {
"duration": 18.304,
"model": "whisper-1",
"output_tokens": 0,
"prompt_tokens": 0
}
},
"msg": "ASR transcription completed successfully",
"success": true
}
},
"task_id": "3adc70ed358b469da2c0553a59c5f2c5"
}
Product: Visual Intelligence — Social Media Scraping
Use case: Fetch video metadata, transcripts, captions, and comments from YouTube, Instagram, TikTok, and Twitter/X
Host:
https://mavi-backend.memories.ai/serve/api/v2
Auth: Authorization: sk-mavi-... (no Bearer prefix)Channel routing guide: see Social Media Scraping Overview. Endpoints with a
channel request field let you choose apify, rapid, or memories.ai; endpoints without this field use managed routing.Pricing: Base fee ($0.01/video) + Input tokens ($0.45/1M) + Output tokens ($3.75/1M) + Duration ($0.0001/sec)
This is an asynchronous endpoint. It returns a
task_id immediately. You must configure a Webhook to receive the processing results.If no webhook is configured on the account, the call is rejected at submit time with HTTP 400:{"code": 400, "msg": "An async request requires at least one webhook.", "data": null}
Code Example
import requests
BASE_URL = "https://mavi-backend.memories.ai/serve/api/v2"
API_KEY = "sk-mavi-..."
HEADERS = {
"Authorization": f"{API_KEY}"
}
def twitter_video_caption(video_url: str):
url = f"{BASE_URL}/twitter/video/mai/transcript"
data = {"video_url": video_url}
resp = requests.post(url, headers=HEADERS, json=data)
return resp.json()
# Usage example
result = twitter_video_caption("https://x.com/NBCOlympics/status/1989901761650323606")
print(result)
Response
Returns the caption task information.{
"code": 200,
"msg": "success",
"data": {
"task_id": "1cd78354af824c8eb1dafe4ed2435720"
},
"failed": false,
"success": true
}
{
"code": 200,
"message": "SUCCESS",
"data": {
"videoTranscript": {
"data": {
"data": [
{
"end_time": 19.0,
"start_time": 0.0,
"transcript": "A man in a blue jacket and red gloves sits between two women, all three looking at something off-screen. The man gestures with his hands, then covers his mouth in surprise, his eyes wide. The women on either side of him smile and laugh, one patting his arm. The man then throws his hands up in excitement, then covers his face with his red-gloved hands, appearing to cry tears of joy. The women continue to smile and laugh, one of them patting his shoulder."
}
],
"error_rate": 0.0,
"usage_metadata": {
"duration": 0.0,
"model": "gemini-2.5-flash",
"output_tokens": 153,
"prompt_tokens": 7009
}
},
"msg": "Video transcription completed successfully",
"success": true
},
"audioTranscript": {
"data": {
"data": [
{
"end_time": 3.0,
"speaker": null,
"start_time": 0.0,
"text": " Wait for his reaction."
},
{
"end_time": 5.0,
"speaker": null,
"start_time": 3.0,
"text": " Yes, first place."
},
{
"end_time": 7.0,
"speaker": null,
"start_time": 5.0,
"text": " Ah!"
}
],
"usage_metadata": {
"duration": 18.304,
"model": "whisper-1",
"output_tokens": 0,
"prompt_tokens": 0
}
},
"msg": "ASR transcription completed successfully",
"success": true
}
},
"task_id": "3adc70ed358b469da2c0553a59c5f2c5"
}
Response Parameters
| Parameter | Type | Description |
|---|---|---|
| code | string | Response code indicating the result status |
| msg | string | Response message describing the operation result |
| data | object | Response data object containing task information |
| data.task_id | string | Unique identifier of the caption task |
| success | boolean | Indicates whether the operation was successful |
| failed | boolean | Indicates whether the operation failed |
Callback Response Parameters
When the Twitter video caption generation is complete, a callback will be sent to your configured webhook URL.| Parameter | Type | Description |
|---|---|---|
| code | string | Response code (200 indicates success) |
| message | string | Status message (e.g., “SUCCESS”) |
| data | object | Response data object containing both video and audio transcription results |
| data.videoTranscript | object | Video transcription result object |
| data.videoTranscript.data | object | Inner data object containing video caption segments and usage information |
| data.videoTranscript.data.data | array | Array of video caption segments with timestamps |
| data.videoTranscript.data.data[].start_time | number | Start time of the video segment in seconds |
| data.videoTranscript.data.data[].end_time | number | End time of the video segment in seconds |
| data.videoTranscript.data.data[].transcript | string | Video transcription text describing the visual content |
| data.videoTranscript.data.error_rate | number | Error rate of the video caption (0.0 means no errors) |
| data.videoTranscript.data.usage_metadata | object | Usage statistics for the video caption |
| data.videoTranscript.data.usage_metadata.duration | number | Processing duration in seconds |
| data.videoTranscript.data.usage_metadata.model | string | The AI model used for video caption (e.g., “gemini-2.5-flash”) |
| data.videoTranscript.data.usage_metadata.output_tokens | integer | Number of tokens in the generated video caption |
| data.videoTranscript.data.usage_metadata.prompt_tokens | integer | Number of tokens in the input prompt |
| data.videoTranscript.msg | string | Detailed message about the video caption result |
| data.videoTranscript.success | boolean | Indicates whether the video caption was successful |
| data.audioTranscript | object | Audio transcription result object |
| data.audioTranscript.data | object | Inner data object containing audio transcription segments and usage information |
| data.audioTranscript.data.data | array | Array of audio transcription segments with timestamps |
| data.audioTranscript.data.data[].start_time | number | Start time of the audio segment in seconds |
| data.audioTranscript.data.data[].end_time | number | End time of the audio segment in seconds |
| data.audioTranscript.data.data[].text | string | Audio transcription text for this segment |
| data.audioTranscript.data.data[].speaker | string | null | Speaker identifier (null if speaker identification not enabled) |
| data.audioTranscript.data.usage_metadata | object | Usage statistics for the audio transcription |
| data.audioTranscript.data.usage_metadata.duration | number | Audio duration in seconds |
| data.audioTranscript.data.usage_metadata.model | string | The model used for audio transcription (e.g., “whisper-1”) |
| data.audioTranscript.data.usage_metadata.output_tokens | integer | Number of output tokens (0 for audio transcription) |
| data.audioTranscript.data.usage_metadata.prompt_tokens | integer | Number of prompt tokens (0 for audio transcription) |
| data.audioTranscript.msg | string | Detailed message about the audio transcription result |
| data.audioTranscript.success | boolean | Indicates whether the audio transcription was successful |
| task_id | string | The task ID associated with this transcription request |
Authorizations
Body
application/json
The Twitter video URL
Example:
"https://x.com/NBCOlympics/status/1989901761650323606"
Response
200 - application/json
Transcription task information
Response code indicating the result status
Example:
200
Response message describing the operation result
Example:
"success"
Response data object containing task information
Show child attributes
Show child attributes
Indicates whether the operation was successful
Example:
true
Indicates whether the operation failed
Example:
false