curl -X POST https://eachsense-agent.core.eachlabs.run/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -d '{
    "messages": [
      {
        "role": "user",
        "content": "Generate a short video of a professional woman in her 30s sitting in a modern office, speaking directly to the camera with a warm genuine smile, natural lighting from a window to her left, shallow depth of field, testimonial interview style, corporate but approachable"
      }
    ],
    "stream": false
  }'

Using Python (OpenAI SDK)

from openai import OpenAI

client = OpenAI(
    api_key="YOUR_EACHLABS_API_KEY",
    base_url="https://eachsense-agent.core.eachlabs.run/v1"
)

response = client.chat.completions.create(
    model="eachsense/beta",
    messages=[{
        "role": "user",
        "content": "Generate a short video of a professional woman in her 30s sitting in a modern office, speaking directly to the camera with a warm genuine smile, natural lighting from a window to her left, shallow depth of field, testimonial interview style, corporate but approachable"
    }]
)

print(response.choices[0].message.content)

With Reference Image

curl -X POST https://eachsense-agent.core.eachlabs.run/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -d '{
    "messages": [
      {
        "role": "user",
        "content": [
              {"type": "text", "text": "Animate this portrait into a testimonial-style video: the person gently nods and speaks to camera, subtle natural head movements, professional interview lighting, soft background blur"},
              {"type": "image_url", "image_url": {"url": "https://example.com/portrait.jpg"}}
            ]
          }
    ],
    "stream": false
  }'

Images are sent inside messages using the OpenAI multimodal content format. Maximum 4 images per request.

Streaming

Set "stream": true for real-time SSE responses, or "stream": false for complete result in a single response. Streaming is useful for showing progress in UIs; non-streaming is simpler for scripts and automation.

Tips for Testimonial Videos

Describe the setting realistically — office, home, cafe, or outdoor settings give context and credibility.
Specify camera framing — "medium close-up," "head and shoulders," or "waist up" for classic testimonial framing.
Include subtle motion cues — "gentle head nod," "slight gesturing," "looking to camera" for natural movement.
Match your brand environment — specify background elements and color tones.
Pair with voiceover — use text-to-speech skills to add narration to the generated video.

Examples

Corporate Testimonial Scene

curl -X POST https://eachsense-agent.core.eachlabs.run/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -d '{
    "messages": [
      {
        "role": "user",
        "content": "A short video of a middle-aged businessman in a navy suit sitting in a boardroom, speaking to camera with confident gestures, large windows showing a city skyline behind him, warm professional lighting, shallow depth of field, corporate testimonial interview"
      }
    ],
    "stream": false
  }'

Casual Customer Review

curl -X POST https://eachsense-agent.core.eachlabs.run/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -d '{
    "messages": [
      {
        "role": "user",
        "content": "Generate a video of a young man in a casual t-shirt sitting on a couch in a bright living room, talking to camera with an enthusiastic expression, holding a phone in one hand, natural daylight, candid vlog-style testimonial"
      }
    ],
    "stream": false
  }'

Healthcare Professional Testimonial

curl -X POST https://eachsense-agent.core.eachlabs.run/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -d '{
    "messages": [
      {
        "role": "user",
        "content": "A short video of a female doctor in a white coat sitting in a clean modern medical office, speaking calmly to camera, stethoscope around her neck, neutral medical background, soft even lighting, professional healthcare testimonial style"
      }
    ],
    "stream": false
  }'

Workflow: Testimonial Video Production

Define the persona — Describe the speaker's role, appearance, and setting.
Generate the base video — Create the talking-head testimonial clip.
Add voiceover — Use text-to-speech to create the audio narration.
Create B-roll — Generate supplementary video clips of product usage or outcomes.
Compose in editor — Combine testimonial video, B-roll, audio, and text overlays.

ai-testimonial-video

AI Testimonial Video Generator

Quick Start

Using curl