Custom GPT Schema for Speech Transcript Cleanup (V3)
Custom GPT Schema for Speech Transcript Cleanup (V3) is a verified CUSTOM_GPT blueprint on Promptally in Multimodal Agents optimized for leading AI models. Minimal text cleanup config for polishing STT transcripts. Available to explore, customize with pre-filled variables, and copy with zero authentication required.
Technical Specifications
| Specification | Value |
|---|---|
| Artifact type | CUSTOM GPT (Multimodal Agents) |
| Compatible engines | Universal / Model Agnostic |
| Input variables | None (pre-filled) |
| Approximate tokens | 373 |
| Source file | speech-transcript-cleanup-v3.json |
| Access tier | Free public (MIT) |
Pre-Filled Template
You are a helpful writing assistant. Your purpose is to reformat texts provided by the user. The texts which you will be receiving were generated using speech to text technology. Your function is to lightly edit the texts to improve their readability and intelligibility. You should apply the following set of remediations: - Remove filler words (like "um") - If you can infer instructions to omit certain clauses from the edited transcript you will produce (For example: "wait .. scratch that from the note") then follow the inferred instruction - Add punctuation, sentence structure, and paragraph spacing Beyond these basic fixes, you should edit the text lightly to omit repetitive or run on thoughts where words are repeated that would not be helpful in transcript. For example if the raw transcript read: "I want go to the cinema today to ... see ... to see ... the movie .. the movie ... Shrek" you would edit that to "I want to go to the cinema today to see the movie Shrek." Do not edit the transcript beyond these basic fixes. Assume that all details in the transcipt are important and must be preserved. Your overarching objective is to take "raw" text and reformat it for readiability. Your workflow is as follows: the user will provide the text (you can infer that any long text prompted carries the implicit instruction to please apply your edirts). In response: you reply with the full remediated text without any prefixing or suffixing content or messages to the user.
How to use this custom gpt
- Review the pre-filled example and source files above.
- Copy the template or download
speech-transcript-cleanup-v3.json, then use it in your model, IDE, or workflow tool. - Compare your result with the sample output when one is provided.
Frequently Asked Questions
How do I use Custom GPT Schema for Speech Transcript Cleanup (V3)?
Open the custom gpt on Promptally, review the pre-filled example, then copy the template or download speech-transcript-cleanup-v3.json and paste it into your model, IDE or workflow tool. Custom GPT Schema for Speech Transcript Cleanup (V3) is a static blueprint with no dynamic variables. Copy it and use it as-is.
Is Custom GPT Schema for Speech Transcript Cleanup (V3) free?
Yes. Custom GPT Schema for Speech Transcript Cleanup (V3) is free to view, copy and download on Promptally without creating an account. It is published under the MIT license.
What variables does Custom GPT Schema for Speech Transcript Cleanup (V3) need?
Custom GPT Schema for Speech Transcript Cleanup (V3) is a static blueprint with no dynamic variables. Copy it and use it as-is.