Introducing WaveSpeedAI Openai Whisper With Video on WaveSpeedAI

Bringing Video-to-Text Transcription to Your Workflow with OpenAI Whisper Large v3

Video content has become the dominant medium for communication, education, and entertainment. But unlocking the value of spoken words trapped inside video files has traditionally required tedious manual transcription or expensive services. Today, we’re excited to announce that OpenAI Whisper Large v3 (Video-to-Text) is now available on WaveSpeedAI, bringing production-ready transcription and subtitle generation directly to your fingertips.

What is OpenAI Whisper Large v3?

OpenAI Whisper Large v3 represents the current gold standard in speech recognition technology. Trained on over 5 million hours of audio data—a 635% increase from the original Whisper release—this 1.55 billion parameter model delivers exceptional accuracy across 99+ languages with automatic language detection.

The Video-to-Text variant on WaveSpeedAI takes this powerful foundation and adds seamless video file support. Simply upload your video, and the system automatically extracts the audio track and returns clean, readable transcriptions. No preprocessing, no format conversion, no hassle.

With an average Word Error Rate (WER) of just 7.4% on mixed benchmarks—and as low as 2.7% on clean audio—Whisper Large v3 delivers professional-grade accuracy that rivals dedicated transcription services.

Key Features

• Direct Video Input: Upload video files or provide public URLs—audio extraction happens automatically
• Multilingual Excellence: Support for 99+ languages with automatic language detection, or specify your target language for optimal results
• Dual-Mode Operation: Choose between transcription (same-language output) or translation (convert to English)
• Word-Level Timestamps: Generate precise timing data for subtitle creation and audio-video alignment workflows
• Prompt Guidance: Steer transcription style, terminology, and formatting with custom prompts
• Production-Ready API: Synchronous mode available for direct result retrieval in single API calls

Real-World Use Cases

Content Creators and Video Producers

Transform hours of video content into searchable, editable text. Whether you’re creating YouTube tutorials, podcast episodes, or training materials, automatic transcription saves 80-90% of the time compared to manual transcription while delivering 90-99% accuracy on clear audio.

Accessibility and Compliance

Generate SRT or VTT subtitle files for ADA compliance and broader audience reach. The word-level timestamp feature produces subtitle-ready segments that sync perfectly with your video timeline.

Corporate and Enterprise Applications

Meeting recordings, webinars, and training sessions become instantly searchable archives. Sales teams can analyze customer calls, while HR departments can document training sessions and compliance recordings.

Research and Academia

Researchers working with interview data, lecture recordings, or archival footage can rapidly convert spoken content to text for analysis. Students can create searchable notes from recorded lectures.

Media and Journalism

Broadcast organizations can automatically generate transcripts for news packages, interviews, and documentary footage. Journalists can quickly reference specific quotes and verify accuracy.

Multilingual Operations

Global teams can transcribe content in the original language or translate directly to English—all in a single API call. This dramatically simplifies workflows for international organizations.

Getting Started on WaveSpeedAI

Using OpenAI Whisper Video-to-Text on WaveSpeedAI is straightforward:

import wavespeed

output = wavespeed.run(
    "wavespeed-ai/openai-whisper-with-video",
    {
        "video": "https://your-video-url.com/video.mp4",
        "language": "auto",
        "task": "transcribe",
        "enable_timestamps": True
    },
)

print(output["outputs"][0])

For basic transcription without timestamps, the API is even simpler:

import wavespeed

output = wavespeed.run(
    "wavespeed-ai/openai-whisper-with-video",
    {
        "video": "https://your-video-url.com/video.mp4"
    },
)

print(output["outputs"][0])

Transparent, Predictable Pricing

WaveSpeedAI offers straightforward per-second pricing:

Mode	Price
Standard transcription	$0.001/second
With timestamps	$0.002/second

A 10-minute video costs just $0.60 for standard transcription or $1.20 with word-level timestamps—significantly more affordable than many competing services.

Why WaveSpeedAI?

Beyond competitive pricing, WaveSpeedAI delivers the infrastructure advantages that production workloads demand:

• No Cold Starts: Your transcription jobs begin immediately, every time
• Fast Inference: Optimized infrastructure for rapid turnaround
• Ready-to-Use REST API: No complex setup or configuration required
• Predictable Performance: Consistent response times you can build around

Tips for Best Results

1. Use clear audio sources: Minimize background music and noise for optimal accuracy
2. Specify language when known: While auto-detection works well, explicit language selection can improve results for edge cases
3. Leverage prompts: Guide the model with domain-specific terminology, preferred punctuation styles, or formatting expectations
4. Enable timestamps strategically: Only enable when you need subtitle timing—standard mode is faster and more cost-effective for pure transcription

Start Transcribing Today

Whether you’re building a content platform, automating accessibility workflows, or simply need reliable video-to-text conversion, OpenAI Whisper Large v3 on WaveSpeedAI provides the accuracy, speed, and affordability to scale your transcription needs.

Ready to convert your video content into actionable text? Try OpenAI Whisper Video-to-Text on WaveSpeedAI and experience production-grade transcription without the complexity.