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--- |
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title: Basic STT Transcript Cleanup |
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emoji: 🎤 |
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colorFrom: blue |
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colorTo: green |
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sdk: gradio |
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sdk_version: 4.44.0 |
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app_file: app.py |
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pinned: false |
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short_description: Clean up speech-to-text transcripts with AI |
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--- |
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# Basic STT Transcript Cleanup Tool (Version 3) |
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A foundational speech-to-text transcript remediation tool that provides purpose-agnostic text cleanup instructions. This is the **daily workhorse** for cleaning up raw speech-to-text transcripts that naturally contain undesirable material. |
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## Purpose & Philosophy |
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This tool implements **Version 3** of the Basic Speech-to-Text Cleanup prompt - a carefully crafted system prompt that provides sufficiently deterministic guidance without overstepping into actual content editing. The challenge in developing this prompt was ensuring it cleans up technical artifacts of speech-to-text conversion while preserving the authentic voice and intent of the original speaker. |
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## Foundational Design |
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This basic cleanup prompt serves as a **foundation layer** that can be combined with specialized text transformation prompts: |
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- **Standalone Use**: Perfect for general transcript cleanup |
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- **Modular Design**: Can be concatenated with purpose-specific prompts from extensive libraries |
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- **Purpose-Agnostic**: Works across all content types and domains |
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- **Extensible**: Hundreds of specialized transformation prompts can be layered on top |
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## Features |
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- **AI-Powered Cleanup**: Uses OpenAI's GPT models with a refined system prompt |
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- **BYOK (Bring Your Own Key)**: Secure - uses your own OpenAI API key |
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- **Copy to Clipboard**: Easy copying of cleaned text |
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- **Re-run Capability**: Quickly re-process the same text |
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- **System Prompt Viewer**: Transparent - see exactly how the AI processes your text |
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- **Deterministic Processing**: Consistent, predictable cleanup results |
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## How to Use |
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1. **Enter API Key**: Provide your OpenAI API key (required for processing) |
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2. **Paste Transcript**: Add your raw speech-to-text transcript |
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3. **Process**: Click "Clean Up Transcript" to apply remediation |
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4. **Copy Results**: Use the cleaned output or re-run if needed |
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## What It Does |
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The tool applies these **foundational improvements** to your transcripts: |
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### Core Remediations |
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- **Removes filler words** (like "um") |
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- **Adds punctuation, sentence structure, and paragraph spacing** |
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- **Fixes obvious STT hallucinations and mistranscriptions** (e.g., "McDonuts" → "McDonalds") |
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- **Removes repetitive or run-on thoughts** that would not be helpful to readers |
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- **Follows inferred instructions** to omit certain clauses (e.g., "wait .. scratch that from the note") |
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### What It Preserves |
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- **All important content** and meaning |
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- **Original speaker's voice** and intent |
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- **Factual accuracy** and details |
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- **Natural flow** of conversation |
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## Design Principles |
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1. **Light Touch Editing**: Minimal intervention while maximizing clarity |
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2. **Content Preservation**: Never removes or alters important information |
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3. **Deterministic Guidance**: Consistent, predictable results |
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4. **Purpose Agnostic**: Works across all content domains |
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5. **Modular Foundation**: Ready for specialized prompt layering |
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## Extended Ecosystem |
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This basic cleanup prompt is part of a larger ecosystem: |
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- **Hundreds of specialized prompts** available in shared libraries |
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- **Domain-specific transformations** for various use cases |
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- **Concatenation-ready design** for complex workflows |
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- **Shared on Hugging Face** and other platforms |
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## System Prompt |
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The tool uses a carefully crafted system prompt (Version 3, September 2025) that balances cleanup effectiveness with content preservation. View the complete prompt using the "Show System Prompt" feature in the interface. |
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## Created By |
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**[Daniel Rosehill](https://danielrosehill.com)** - Specializing in AI-powered text processing and speech-to-text optimization workflows. |
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