Multimodal AI Text Image Audio Processing Implementation

Multimodal AI: Text, Image, Audio Processing

Combining multiple input types (text + images + audio) in single AI pipeline. Use Claude Vision, Whisper, and text models in coordinated workflow.

Architecture

• Image processing: Claude Vision API
• Audio processing: Whisper API
• Text processing: Claude text API
• Orchestration layer

Workflows

• Image analysis + follow-up questions
• Transcribe audio + extract key points
• Read documents + answer questions
• Multi-step reasoning

Implementation

# Combine Whisper + Claude for audio analysis
transcript = client.audio.transcriptions.create(
    file=audio_file,
    model="whisper-1"
)

analysis = client.messages.create(
    model="claude-3-5-sonnet",
    messages=[{
        "role": "user",
        "content": f"Analyze: {transcript.text}"
    }]
)

Timeline

• Basic image processing: 2–3 days
• Audio transcription: 1–2 days
• Coordinated workflow: 3–5 days
• Production optimization: 1 week