AI Street Interview Video Generator [VEO3]
Generate realistic street interview videos with Google Veo3, without the need for actual filming or production crews.
If you're looking for an API, here is a sample code in NodeJS to help you out.
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const axios = require('axios');
const api_key = "YOUR API KEY";
const url = "https://api.segmind.com/workflows/68669eab4727e611dfa21e42-v6";
const data = {
Text_Prompt: "the user input string"
};
axios.post(url, data, {
headers: {
'x-api-key': api_key,
'Content-Type': 'application/json'
}
}).then((response) => {
console.log(response.data);
});1
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{
"poll_url": "<base_url>/requests/<some_request_id>",
"request_id": "some_request_id",
"status": "QUEUED"
}You can poll the above link to get the status and output of your request.
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{
"Video_Output": "any user input string"
}Attributes
To keep track of your credit usage, you can inspect the response headers of each API call. The x-remaining-credits property will indicate the number of remaining credits in your account. Ensure you monitor this value to avoid any disruptions in your API usage.
AI Street Interview Video Generator
The AI Street Interview Video Generator leverages Google Veo3 to create realistic street interview footage based on user specifications. This powerful workflow allows content creators, filmmakers, and journalists to visualize interview scenarios in various environments without the logistical challenges and costs of on-location filming. By simply inputting location details, time of day, and scenario descriptions, users can generate authentic-looking street interview videos with appropriate environmental context.
Key Features
Location Customization - Generate videos in virtually any street setting around the world, from busy urban intersections to quiet neighborhood corners, enhancing visual storytelling without travel expenses.
Time of Day Settings - Adjust lighting conditions to match morning, afternoon, evening, or night scenarios, ensuring the footage has realistic illumination that matches your narrative requirements.
Scenario-Based Generation - Create contextually appropriate interview situations based on detailed scenario descriptions, allowing for tailored content that feels authentic to viewers.
Environmental Context - Automatically includes appropriate background elements, pedestrians, and ambient activities based on the specified location and time, increasing the realism of the generated footage.
Dynamic Social Interactions - Simulates natural interview dynamics with appropriate body language, gestures, and environmental interactions that mimic real street interviews.
Use Cases
Content Creation - YouTubers and social media content creators can produce visually diverse "person on the street" interview segments without leaving their studio, expanding their content variety.
Film Pre-visualization - Filmmakers can test different street interview settings and lighting conditions before committing to actual production schedules and locations.
Journalism Education - Journalism schools can use generated scenarios to teach interview techniques in various environmental conditions without organizing field trips.
Marketing Research Visualization - Market researchers can illustrate consumer interview findings with contextually appropriate visual content that represents their target demographics and locations.
Documentary Planning - Documentary filmmakers can visualize potential interview segments in locations that may be difficult, expensive, or impossible to access during planning stages.
Media Training Simulations - PR professionals can create realistic interview scenarios for client training, simulating challenging street interview environments for preparation purposes.
Models Used in the Pixelflow
veo-3
Veo 3 revolutionizes video creation with advanced text-to-video generation and realistic audio synthesis for cinematic content.
claude-3.7-sonnet
Claude 3.7 Sonnet is a large language model (LLM) launched by Anthropic AI. It is considered state-of-the-art, outperforming previous versions of Claude and competing models in a variety of tasks
