Quickstart
- Python
- JavaScript
import requests
import time
base_url = "https://api.assemblyai.com"
headers = {"authorization": "<YOUR_API_KEY>"}
# Step 1: Transcribe the audio
audio_url = "https://storage.googleapis.com/aai-web-samples/meeting.mp4"
data = {"audio_url": audio_url}
response = requests.post(base_url + "/v2/transcript", json=data, headers=headers)
transcript_id = response.json()['id']
polling_endpoint = base_url + "/v2/transcript/" + transcript_id
while True:
transcription_result = requests.get(polling_endpoint, headers=headers).json()
if transcription_result['status'] == 'completed':
break
elif transcription_result['status'] == 'error':
raise RuntimeError(f"Transcription failed: {transcription_result['error']}")
else:
time.sleep(3)
# Step 2: Generate topic tags with LLM Gateway
tag_list = {
'Sports': 'News and updates on various athletic events, teams, and sports personalities.',
'Politics': 'Coverage and discussion of government activities, policies, and political events.',
'Entertainment': 'Information on movies, music, television, celebrities, and arts.',
'Technology': 'News and reviews on gadgets, software, tech advancements, and trends.',
'Health': 'Articles focusing on medical news, wellness, and health-related topics.',
'Business': 'Updates on markets, industries, companies, and economic trends.',
'Science': 'News and insights into scientific discoveries, research, and innovations.',
'Education': 'Coverage of topics related to schools, educational policies, and learning.',
'Travel': 'Information on destinations, travel tips, and tourism news.',
'Lifestyle': 'Articles on fashion, hobbies, personal interests, and daily life.',
'Environment': 'News and discussion about environmental issues and sustainability.',
'Finance': 'Information on personal finance, investments, banking, and economic news.',
'World News': 'International news covering global events and issues.',
'Crime': 'Reports and updates on criminal activities, law enforcement, and legal cases.',
'Culture': 'Coverage of cultural events, traditions, and societal norms.'
}
prompt = f"""
You are a helpful assistant designed to label video content with topic tags.
I will give you a list of topics and definitions. Select the most relevant topic from the list. Return your selection and nothing else.
<topics_list>
{tag_list}
</topics_list>
"""
llm_gateway_data = {
"model": "claude-sonnet-4-6",
"messages": [
{"role": "user", "content": f"{prompt}\n\n{{{{ transcript }}}}"}
],
"transcript_id": transcript_id,
"max_tokens": 500
}
response = requests.post(
"https://llm-gateway.assemblyai.com/v1/chat/completions",
headers=headers,
json=llm_gateway_data
)
result = response.json()["choices"][0]["message"]["content"]
print(result.strip())
const baseUrl = "https://api.assemblyai.com";
const headers = { authorization: "<YOUR_API_KEY>" };
// Step 1: Transcribe the audio
const audioUrl = "https://storage.googleapis.com/aai-web-samples/meeting.mp4";
const data = { audio_url: audioUrl };
let res = await fetch(baseUrl + "/v2/transcript", {
method: "POST",
headers: { ...headers, "Content-Type": "application/json" },
body: JSON.stringify(data),
});
if (!res.ok) throw new Error(`Error: ${res.status}`);
const transcriptResponse = await res.json();
const transcriptId = transcriptResponse.id;
const pollingEndpoint = baseUrl + "/v2/transcript/" + transcriptId;
let transcriptionResult;
while (true) {
res = await fetch(pollingEndpoint, { headers });
if (!res.ok) throw new Error(`Error: ${res.status}`);
transcriptionResult = await res.json();
if (transcriptionResult.status === "completed") {
break;
} else if (transcriptionResult.status === "error") {
throw new Error(`Transcription failed: ${transcriptionResult.error}`);
} else {
await new Promise((resolve) => setTimeout(resolve, 3000));
}
}
// Step 2: Generate topic tags with LLM Gateway
const tagList = {
Sports: "News and updates on various athletic events, teams, and sports personalities.",
Politics: "Coverage and discussion of government activities, policies, and political events.",
Entertainment: "Information on movies, music, television, celebrities, and arts.",
Technology: "News and reviews on gadgets, software, tech advancements, and trends.",
Health: "Articles focusing on medical news, wellness, and health-related topics.",
Business: "Updates on markets, industries, companies, and economic trends.",
Science: "News and insights into scientific discoveries, research, and innovations.",
Education: "Coverage of topics related to schools, educational policies, and learning.",
Travel: "Information on destinations, travel tips, and tourism news.",
Lifestyle: "Articles on fashion, hobbies, personal interests, and daily life.",
Environment: "News and discussion about environmental issues and sustainability.",
Finance: "Information on personal finance, investments, banking, and economic news.",
"World News": "International news covering global events and issues.",
Crime: "Reports and updates on criminal activities, law enforcement, and legal cases.",
Culture: "Coverage of cultural events, traditions, and societal norms.",
};
const prompt = `
You are a helpful assistant designed to label video content with topic tags.
I will give you a list of topics and definitions. Select the most relevant topic from the list. Return your selection and nothing else.
<topics_list>
${JSON.stringify(tagList, null, 2)}
</topics_list>
`;
const llmGatewayData = {
model: "claude-sonnet-4-6",
messages: [
{ role: "user", content: `${prompt}\n\n{{ transcript }}` },
],
transcript_id: transcriptId,
max_tokens: 500,
};
res = await fetch("https://llm-gateway.assemblyai.com/v1/chat/completions", {
method: "POST",
headers: { ...headers, "Content-Type": "application/json" },
body: JSON.stringify(llmGatewayData),
});
if (!res.ok) throw new Error(`Error: ${res.status}`);
const response = await res.json();
const result = response.choices[0].message.content;
console.log(result.trim());
Get Started
Before we begin, make sure you have an AssemblyAI account and an API key. You can sign up for an AssemblyAI account and get your API key from your dashboard.Step-by-Step Instructions
Install dependencies
Install the required packages:- Python
pip install requests
- Python
- JavaScript
import requests
import time
base_url = "https://api.assemblyai.com"
headers = {"authorization": "<YOUR_API_KEY>"}
# Transcribe the audio
audio_url = "https://storage.googleapis.com/aai-web-samples/meeting.mp4"
data = {"audio_url": audio_url} # You can also use a URL to an audio or video file on the web
response = requests.post(base_url + "/v2/transcript", json=data, headers=headers)
transcript_id = response.json()['id']
polling_endpoint = base_url + "/v2/transcript/" + transcript_id
while True:
transcription_result = requests.get(polling_endpoint, headers=headers).json()
if transcription_result['status'] == 'completed':
break
elif transcription_result['status'] == 'error':
raise RuntimeError(f"Transcription failed: {transcription_result['error']}")
else:
time.sleep(3)
const baseUrl = "https://api.assemblyai.com";
const headers = { authorization: "<YOUR_API_KEY>" };
// Transcribe the audio
const audioUrl = "https://storage.googleapis.com/aai-web-samples/meeting.mp4"; // You can also use a URL to an audio or video file on the web
const data = { audio_url: audioUrl };
let res = await fetch(baseUrl + "/v2/transcript", {
method: "POST",
headers: { ...headers, "Content-Type": "application/json" },
body: JSON.stringify(data),
});
if (!res.ok) throw new Error(`Error: ${res.status}`);
const transcriptResponse = await res.json();
const transcriptId = transcriptResponse.id;
const pollingEndpoint = baseUrl + "/v2/transcript/" + transcriptId;
let transcriptionResult;
while (true) {
res = await fetch(pollingEndpoint, { headers });
if (!res.ok) throw new Error(`Error: ${res.status}`);
transcriptionResult = await res.json();
if (transcriptionResult.status === "completed") {
break;
} else if (transcriptionResult.status === "error") {
throw new Error(`Transcription failed: ${transcriptionResult.error}`);
} else {
await new Promise((resolve) => setTimeout(resolve, 3000));
}
}
- Python
- JavaScript
Create a
tag_list of custom topics, which consists of a key that is the topic and a value that is a short description of what qualifies a file to be labeled with that topic.Here is an example of a tag_list that can be used for videos or podcasts:tag_list = {
'Sports': 'News and updates on various athletic events, teams, and sports personalities.',
'Politics': 'Coverage and discussion of government activities, policies, and political events.',
'Entertainment': 'Information on movies, music, television, celebrities, and arts.',
'Technology': 'News and reviews on gadgets, software, tech advancements, and trends.',
'Health': 'Articles focusing on medical news, wellness, and health-related topics.',
'Business': 'Updates on markets, industries, companies, and economic trends.',
'Science': 'News and insights into scientific discoveries, research, and innovations.',
'Education': 'Coverage of topics related to schools, educational policies, and learning.',
'Travel': 'Information on destinations, travel tips, and tourism news.',
'Lifestyle': 'Articles on fashion, hobbies, personal interests, and daily life.',
'Environment': 'News and discussion about environmental issues and sustainability.',
'Finance': 'Information on personal finance, investments, banking, and economic news.',
'World News': 'International news covering global events and issues.',
'Crime': 'Reports and updates on criminal activities, law enforcement, and legal cases.',
'Culture': 'Coverage of cultural events, traditions, and societal norms.'
}
Create a
tagList of custom topics, which consists of a key that is the topic and a value that is a short description of what qualifies a file to be labeled with that topic.Here is an example of a tagList that can be used for videos or podcasts:const tagList = {
Sports: "News and updates on various athletic events, teams, and sports personalities.",
Politics: "Coverage and discussion of government activities, policies, and political events.",
Entertainment: "Information on movies, music, television, celebrities, and arts.",
Technology: "News and reviews on gadgets, software, tech advancements, and trends.",
Health: "Articles focusing on medical news, wellness, and health-related topics.",
Business: "Updates on markets, industries, companies, and economic trends.",
Science: "News and insights into scientific discoveries, research, and innovations.",
Education: "Coverage of topics related to schools, educational policies, and learning.",
Travel: "Information on destinations, travel tips, and tourism news.",
Lifestyle: "Articles on fashion, hobbies, personal interests, and daily life.",
Environment: "News and discussion about environmental issues and sustainability.",
Finance: "Information on personal finance, investments, banking, and economic news.",
"World News": "International news covering global events and issues.",
Crime: "Reports and updates on criminal activities, law enforcement, and legal cases.",
Culture: "Coverage of cultural events, traditions, and societal norms.",
};
- Python
- JavaScript
Here is another example of a
tag_list that can be used for support calls:tag_list = {
'Account Issues': 'Problems related to user accounts, such as login difficulties or account access.',
'Technical Support': 'Inquiries regarding software or hardware functionality and troubleshooting.',
'Billing and Payments': 'Questions or problems about invoices, payments, or subscription plans.',
'Product Inquiry': 'Requests for information about product features, capabilities, or availability.',
'Service Disruption': 'Reports of outages or interruptions in service performance or availability.'
}
Here is another example of a
tagList that can be used for support calls:const tagList = {
"Account Issues": "Problems related to user accounts, such as login difficulties or account access.",
"Technical Support": "Inquiries regarding software or hardware functionality and troubleshooting.",
"Billing and Payments": "Questions or problems about invoices, payments, or subscription plans.",
"Product Inquiry": "Requests for information about product features, capabilities, or availability.",
"Service Disruption": "Reports of outages or interruptions in service performance or availability.",
};
- Python
- JavaScript
prompt = f"""
You are a helpful assistant designed to label video content with topic tags.
I will give you a list of topics and definitions. Select the most relevant topic from the list. Return your selection and nothing else.
<topics_list>
{tag_list}
</topics_list>
"""
llm_gateway_data = {
"model": "claude-sonnet-4-6",
"messages": [
{"role": "user", "content": f"{prompt}\n\n{{{{ transcript }}}}"}
],
"transcript_id": transcript_id,
"max_tokens": 500
}
response = requests.post(
"https://llm-gateway.assemblyai.com/v1/chat/completions",
headers=headers,
json=llm_gateway_data
)
result = response.json()["choices"][0]["message"]["content"]
print(result.strip())
const prompt = `
You are a helpful assistant designed to label video content with topic tags.
I will give you a list of topics and definitions. Select the most relevant topic from the list. Return your selection and nothing else.
<topics_list>
${JSON.stringify(tagList, null, 2)}
</topics_list>
`;
const llmGatewayData = {
model: "claude-sonnet-4-6",
messages: [
{ role: "user", content: `${prompt}\n\n{{ transcript }}` },
],
transcript_id: transcriptId,
max_tokens: 500,
};
let res = await fetch("https://llm-gateway.assemblyai.com/v1/chat/completions", {
method: "POST",
headers: { ...headers, "Content-Type": "application/json" },
body: JSON.stringify(llmGatewayData),
});
if (!res.ok) throw new Error(`Error: ${res.status}`);
const response = await res.json();
const result = response.choices[0].message.content;
console.log(result.trim());