Platform Mission
About the Studio.
TextNeatly was founded by a team of independent software engineers who got tired of manually stripping markdown asterisks and editing double-spaces from text drafts.
With the rise of large language models like ChatGPT, Claude, and Gemini, developers and business teams are copying and pasting text more than ever. However, chat outputs are optimized for rich markdown renders, leaving behind hashes, backticks, and formatting markers when pasted into other tools.
Many existing tools require users to paste their drafts onto remote servers, exposing sensitive business data. We built this platform as a privacy-first alternative.
Our Design Principles
Browser Isolation
We process text in the browser's local sandbox memory. This keeps your drafts private and prevents data leaks, meeting corporate security standards.
Pure Performance
By avoiding network API calls and server latency, our tools process and clean large text documents instantly.
Clean UX
We use a Vercel-inspired design with Inter typography, clean layouts, and clear formatting reports to make editing fast and simple.
Core Applications
Beyond general text formatting, our platform is widely used for:
- Resume & CV Polishing: Humanize AI-generated resumes from ChatGPT or Claude, stripping out repetitive artificial buzzwords (e.g., "testament", "delve") to ensure your professional credentials sound authentic.
- Google Forms & Academic Inputs: Clean drafts for feedback surveys, open-ended questionnaires, or text blocks requiring submissions "in your own words," ensuring natural flow and structure.
- Cross-Platform Copywriting: Stripping hidden formatting and markdown artifacts when copying drafts between Slack, email clients, content management systems (CMS), and local documents.
Operational Differentiators
TextNeatly addresses core functional drawbacks found in common online text rewriters and formatting tools:
- Case-Preserving Substitutions: Matches original casing (UPPERCASE, Capitalized, or lowercase) to replace corporate jargon, keeping sentence formatting intact.
- Regex Boundary Isolation: Uses precise boundary anchors to isolate target keywords, ensuring adjacent characters and punctuation are left untouched.
- Dedicated Local Rulesets: Each utility is custom-engineered for a specific format footprint—markdown syntax, spacing layout, or buzzword databases.
- Structured Preview Cards: Interactive preview panels display word counts, character checks, and replacement tallies before you copy.
- Zero-Hallucination Isolation: Runs entirely on client-side rulesets instead of language models, meaning facts, numbers, and code blocks are never mutated or hallucinated.
- Custom Dictionary Overrides: Users can custom-configure the active word dictionary to control exactly which words are replaced.
Editorial Authority & E-E-A-T
All text transformation regex patterns, dictionary lists, and local scripts are developed and audited by Sudhir Sharma, a Principal Software Engineer specializing in NLP, client-side security, and data privacy.
Open Development
Our codebase is designed to run on Cloudflare Workers Static Assets. This serverless, edge-delivered model ensures fast load times worldwide.