It’s ideal for developers and teams building voice-enabled apps, transcription services, or any tool where spoken language needs to become text—instantly and intelligently.
- Voice Assistant Developers: Power voice-to-text interfaces in smart devices or AI chatbots.
- Productivity & Meeting Tools: Automatically generate transcripts from Zoom, Google Meet, or any recorded call.
- Podcasters & Journalists: Turn recorded audio into structured, editable text with minimal effort.
- Accessibility Tools: Enable real-time subtitles and transcripts for users with hearing impairments.
- Customer Support Teams: Log and analyze voice interactions for feedback, QA, or training.
- EdTech & E-learning Providers: Convert lectures, lessons, or webinars into searchable text.
- SaaS Platforms: Add accurate transcription into audio workflows or user-uploaded content.
🛠️ How to Use GPT-4o Transcribe?
- Step 1: Access the /v1/audio/transcriptions Endpoint: Use OpenAI’s API and upload audio files in formats like MP3, MP4, WAV, or M4A.
- Step 2: Select gpt-4o as Your Model: GPT-4o handles the transcription task with advanced understanding and multilingual support.
- Step 3: Submit Audio: Pass the audio file in your API call. Optionally specify language, prompt bias, or output format (plain text, SRT, or VTT).
- Step 4: Receive Transcribed Text: Get back structured text—either full paragraphs or timestamped captions.
- Step 5: Use or Display It: Insert the text into apps, documents, or workflows. Great for subtitles, search indexing, or archiving
- Unified Multimodal Intelligence: Uses GPT-4o’s architecture for nuanced speech comprehension.
- Supports Multiple Languages: Understands and transcribes dozens of languages natively.
- Fast & Accurate: Delivers real-time or near-real-time transcription for most audio types.
- Output Flexibility: Choose plain text, SRT (subtitles), or VTT formats for your needs.
- Prompt-Aware Transcription: Bias transcription with specific context or vocabulary.
- Streaming-Ready: Perfect for live captioning and real-time interaction.
- Highly Accurate: Even in noisy conditions or with accented speech.
- Multilingual by Default: Great for global apps or bilingual content.
- Smart Context Handling: Captures tone, structure, and emphasis intelligently.
- Flexible Output Options: Generate transcript, subtitles, or word-timestamped formats.
- Low Latency: Quick enough for live transcriptions or post-call summaries.
- No Speaker Diarization Yet: Doesn’t differentiate between speakers out of the box.
- Performance Varies with Quality: Noisy audio or low volume affects accuracy.
- No Emotion Tagging: You get what was said—not how it was said.
- Not a Summarizer (By Default): You’ll need a follow-up model for highlights or summaries.
- Still Evolving: Some advanced use cases (like real-time multilingual switching) are emerging.
Text Input
$2.5/$10 per 1M tokens
Text Output: $10
Audio Input
$6/$10 per 1M tokens
Text Output: $10
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