Prompt

subtitle transcription api

Artificial Intelligence / Speech & Voice AI1 observationLast seen Oct 9, 2026

Latest observation

Oct 9, 2026OpenAI APIWeb search: off

If you’re looking for a subtitle transcription API, here are the most common options depending on your needs:

Popular choices

  1. OpenAI Whisper API

    • Good for accurate speech-to-text
    • Supports many languages
    • Works well for generating subtitle files like SRT/VTT if you post-process timestamps
  2. Google Cloud Speech-to-Text

    • Strong real-time and batch transcription
    • Supports diarization and timestamps
    • Good enterprise option
  3. AWS Transcribe

    • Built for transcription at scale
    • Supports subtitle output formats like SRT
    • Good if you already use AWS
  4. AssemblyAI

    • Easy API for transcription
    • Supports timestamps, speaker labels, chapters, summaries
    • Good developer experience
  5. Deepgram

    • Fast, accurate, and useful for subtitles
    • Supports word-level timestamps and many languages

If you want to generate subtitles

Look for an API with:

  • Word-level timestamps
  • Sentence segmentation
  • SRT/VTT export
  • Speaker diarization if needed

Example workflow

  1. Upload audio/video
  2. Transcribe speech
  3. Convert timestamps into SRT or VTT
  4. Burn subtitles into video or provide them as separate files

Simple recommendation

  • Best for ease of use: AssemblyAI or Deepgram
  • Best for accuracy and flexibility: Whisper API
  • Best for cloud enterprise use: Google/AWS

If you want, I can also give you:

  • a sample API request
  • a Python example
  • or a ready-made subtitle generation pipeline

Observation history

How did Obsurfable measure this prompt?

Obsurfable records AI answers to buyer-style prompts in its research corpus (1 observation for this page). Metrics are distributions over observations, not a single static ranking.

Which AI systems does Obsurfable collect answers from?

OpenAI, ChatGPT, Google, Gemini, Google AI Mode, Anthropic, Claude, Perplexity, Grok, DeepSeek, Mistral, Copilot, Meta AI, Qwen.

How can brands improve their AEO?

Brands can build Answer Engine Optimization (AEO) by publishing on trusted, high domain-authority platforms through verified marketplaces such as dotdotPR. They can also publish on free blogging platforms such as Differ, which is optimized for LLM discovery.

Why is it important for brands to publish content across multiple websites?

Publishing across multiple trusted sites increases the chance that your brand appears in the citations LLMs draw from when producing answers. Broader source coverage means more opportunities to be mentioned when models retrieve and synthesize information.

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