Audio & Text Summarizer API

Convert audio or plain text into clean, context-aware summaries using OpenAI’s GPT-3.5 Turbo and Whisper-based transcription.

Key Features

Context-Aware Summarization (RAG)
Dynamic prompting via Retrieval-Augmented Generation boosts accuracy and relevance.
Whisper-Powered Transcription
Supports .mp3, .wav, and more. Fast, parallel, and multilingual.
Smart Summary Styles
Choose from:
- Bullet points
- Formal tone
- Concise 1–5 sentence outputs
- Or send a fully custom prompt
Multilingual
Input and output in the same detected language (TR / EN / ES / ...)
Privacy-First
No data is stored. All processing is stateless and secure.
Fast & Scalable
Built-in parallel processing for quick execution.

Faithful Summaries: Output aligns with source context via RAG-enhanced prompts.
Custom Logic: Prompt behavior adapts to language, style, and custom instructions.
Ideal For: EdTech, legal, customer support, podcast platforms, and AI tools.

Upload audio → Get summary

Field	Type	Required	Description
file	file	Yes	Audio file (.mp3, .wav, etc.)
provider	string	No	"openai" (default) or "ollama"
style	string	No	"bullet_points", "formal", "concise"
max_sentences	int	No	Suggest 1–5
prompt	string	No	Custom summarization instruction

Audio → Text

Field	Type	Required	Description
file	file	Yes	Audio file (.mp3, .wav, etc.)
language	string	No	Optional language code

Text → Summary

Field	Type	Required	Description
text	string	Yes	Input text (max 8000 characters)
provider	string	No	"openai" or "ollama"
style	string	No	"bullet_points", "formal", "concise"
max_sentences	int	No	Max sentences for output
prompt	string	No	Custom summarization instruction

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