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Powerful long text processing tool for AI model optimization, document editing, and content management
Text Splitter is a powerful long text processing tool designed for scenarios like ChatGPT, DeepSeek, Claude and other AI model optimization, document editing, and social media content management. It offers three splitting modes — By Length, Chinese Paragraph, and English Paragraph — selected via a Segmented control, along with delimiter-aware boundaries, escape character support, batch export, and ZIP packaging for efficient text processing. Everything runs entirely in your browser — no servers, no uploads.
👉 Try it online: https://tools.newzone.top/en/text-splitter
- Three Splitting Modes: By Length, Chinese Paragraph, and English Paragraph, switched with a Segmented control that only shows the active mode's settings
- Delimiter-Aware Boundaries: An always-visible delimiter field (no toggle) snaps length-based cuts to sentence boundaries so text isn't cut mid-sentence
- Quick Delimiter Presets: One-click "CJK" (
。 ？ ！) and "Latin" (. ? !) buttons - Escape Character Support:
\n(newline),\r(carriage return),\t(tab),\s(space),\\(backslash) - Batch Export: ≤ 3 segments download individually; > 3 are automatically packaged as a ZIP
- Merged Export: Combine all segments into one file separated by double newlines
- Quick Copy: One-click copy of any segment, with a checkmark confirmation
- Performance Friendly: Preview auto-hides above 500 segments to keep the page responsive (export still works)
- Fully Local: Runs entirely in your browser, so even million-character files stay private
- Paste or upload your long text (drag in a text file).
- Pick a mode:
- Fixed-size chunks (for AI input) → By Length
- Long Chinese text by paragraph → Chinese Paragraph
- English text by sentence → English Paragraph
- To align cuts to delimiters (
. ? !etc.), fill in the delimiter field. - Click Process — segments download as individual files (≤ 3) or a ZIP bundle (> 3).
Modes are picked via the Segmented control at the top of the Configuration card. Each mode shows only its own settings, so the panel stays focused.
Chunks text into blocks of a given character count (default: 2000 — a reasonable size for LLM context windows). The delimiter input is always visible, and whether it activates is purely determined by whether the field has a value — no extra toggle needed:
- Length > 0 + delimiter filled: chunk by length, snapping boundaries to the nearest delimiter so sentences aren't cut mid-way
- Length > 0 + delimiter empty: hard chunk by length, ignoring sentence boundaries
- Length = 0 (or empty) + delimiter filled: ignore length entirely — split at every delimiter occurrence (delimiter is required)
- Length = 0 + delimiter empty: invalid — at least one must be set
The delimiter input accepts:
- Manual entry, e.g.
。 ？ ！(separate multiple delimiters with a space) - Click CJK to fill
。 ？ ！ - Click Latin to fill
. ? ! - Escape sequences:
\n,\r,\t,\s,\\
Delimiter splits keep the delimiter at the end of each segment.
Detects Chinese paragraph boundaries using punctuation and line-break rules; paragraph interiors are preserved. Designed for Chinese articles, blog posts, and other content where paragraph integrity matters.
Uses an English sentence algorithm (compromise NLP library) to detect paragraph boundaries. Good for documents, emails, and papers.
All modes share these:
- Hide Results: when there are many segments (auto-triggers above 500), enable this to hide the preview and keep the page responsive. Export still works regardless of visibility.
- Export Filename: base name for exported files. Defaults to the uploaded file's name, or
split_textif nothing was uploaded. A.txtsuffix is added unless you type another.
- Export Merged Text: combine all segments into a single file, separated by double newlines.
- Batch Export: ≤ 3 segments download individually; > 3 are bundled into a single
<filename>_split_files.zipautomatically. - Per-Segment Copy: each segment card has a copy button; the icon flips to a checkmark on success.
- LLM Context Prep: length 2000–4000 with delimiters
。 ？ ！or. ? !— boundaries auto-snap to sentence ends - Sentence-Level Split: length 0 + delimiters
。 ？ ！(or. ? !) — one split at each delimiter - Paragraph-Level Split: use Chinese Paragraph or English Paragraph mode
- Code / Markdown Split: By Length mode with delimiter
\n\n(literal\nsupported)
What's the difference between the three splitting modes? "By Length" chunks text into blocks of a fixed character count (default 2000) and snaps boundaries to a delimiter if one is provided. "Chinese Paragraph" / "English Paragraph" run language-aware sentence detection — Chinese uses punctuation rules, English uses the compromise NLP library. Pick whichever matches your input language.
Why is there no length toggle for delimiter-only splitting? Delimiter activation is implicit — purely controlled by whether the delimiter field has a value. Length > 0 + delimiter filled = chunk + snap. Length > 0 + delimiter empty = hard chunk. Length = 0 + delimiter filled = split at every delimiter (length ignored). Length = 0 + delimiter empty = error.
When does batch export package as ZIP? Above 3 segments. ≤ 3 segments download as individual files; > 3 are bundled into a single <filename>_split_files.zip to avoid spamming your downloads folder.
Why does the preview hide automatically sometimes? When the result exceeds 500 segments, the preview is auto-hidden to keep the page responsive. Click "Show Anyway" to render it, or just use the export buttons (which work regardless of visibility). You can also force-hide via the "Hide results" toggle in the config.
Is anything uploaded? No. The tool runs entirely in your browser — no servers, no uploads. Process even million-character files without bandwidth concerns.
For detailed usage instructions and deployment guides, see the Official Documentation.
Contributions are welcome! Feel free to open issues and pull requests.
MIT © 2025 rockbenben. See LICENSE.