Sora Prompt for Correcting a Text
Sora, developed by OpenAI, is primarily known as a text-to-video generation model. However, the OpenAI ecosystem allows leveraging its linguistic understanding capabilities for text correction tasks through well-structured prompts. Correcting a text with AI assistance goes beyond simple spell-checking: it involves analyzing grammar, syntax, stylistic consistency, and clarity. An effective prompt for text correction should specify the desired level of correction—from simple proofreading to complete rewriting—while preserving the author's voice and intent. Whether you're a professional writer, a student preparing a thesis, or an entrepreneur writing marketing content, a well-designed prompt will save you considerable time while significantly improving your writing quality. In this guide, we offer an optimized main prompt along with several variants tailored to your level of rigor, to turn your drafts into flawless texts.
Paste in your AI
Paste this prompt in ChatGPT, Claude or Gemini and customize the variables in brackets.
Act as a professional Francophone proofreader with 20 years of experience in editorial revision. Correct the following text according to these precise instructions:
- Spelling and grammar: correct all errors without exception (agreements, conjugations, homophones, French typography).
- Syntax: restructure awkward sentences while preserving the original meaning.
- Punctuation: apply French typographic rules (non-breaking spaces, French quotation marks, em dashes).
- Stylistic consistency: harmonize the language register throughout the text.
- Clarity: rephrase ambiguous or confusing passages.
For each modification, indicate in brackets the nature of the correction [spelling], [grammar], [syntax], [style], or [clarity].
Present the result in two parts:
- The complete corrected text
- A summary table of corrections with: original error | correction | type | explanation
Text to correct:
[PASTE YOUR TEXT HERE]
Personalize this prompt with Léa
Answer 3 questions and Léa tailors the prompt to your situation.
Why this prompt works
This prompt works by assigning a precise expert role (professional proofreader) that triggers a high level of linguistic skill. Categorizing corrections into five distinct axes forces a thorough and structured analysis of the text. The two-part output format—corrected text plus summary table—ensures both an immediately usable result and educational transparency on each modification.
Use Cases
Variants
Expected Output
You will receive a fully corrected text, respecting French typographic conventions, with a consistent style and fluent syntax. The summary table will allow you to understand each correction made and improve your writing over time by identifying your recurring errors.
Frequently Asked Questions
What's the maximum text length I can have corrected in a single request?
The length depends on the context window of the model you're using. Generally, you can submit texts of 3,000 to 5,000 words without issue. For longer documents, break your text into logical sections (chapters, parts) and submit them separately, specifying in the prompt to maintain consistency with previous sections. This ensures consistent correction quality across the entire document.
How can I ensure the AI doesn't alter the meaning or style of my original text?
Add explicit instructions in your prompt, such as "strictly preserve the author's tone and intent" or "only rephrase grammatically incorrect sentences." You can also specify the desired language register (formal, standard, casual) and request an output format with change tracking to validate each modification. If certain passages use an intentionally unconventional style (dialogues, regional expressions), mention that in the prompt.
Can the AI correct technical or specialized texts with niche vocabulary?
Yes, as long as you specify the field in your prompt. For example, add "this text is an article on French tax law" or "this document uses specialized medical terminology." The AI will adapt its corrections to the domain's jargon and avoid flagging legitimate technical terms as errors. For highly specialized fields, you can include a mini-glossary of terms not to be modified within the prompt body.
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