PixelDock

No API fees · Runs on your device · Character chunking

Text chunker for prompts

Split text into bounded character chunks without dropping content.

Local models, learning & document helpers

Choose a local model, trainable classifier or statistical helper. Inputs stay on your device; model files download only when you run a model tool.

Text & settings

0 / 16,000 characters

Up to 64 KB · stays on your device

Analysis result

Enter your text or try a sample.

Method & limitations

Choose 500–4,000 UTF-16 characters per chunk. The tool prefers a space or line break in the latter half of the chunk, otherwise splits at the limit without breaking surrogate pairs. The JSON chunks array reconstructs the original input exactly. These are character counts, not model token budgets.

Runs in a Web Worker. Inputs and results are cleared when you leave or choose Clear text; they are not saved in browser storage. Downloaded files remain on your device.

A guide to this tool

How to use Text chunker for prompts

Go to the tool ↑
  1. Enter your text or load this tool’s sample.
  2. Choose the available settings and fill in a second input if this tool has one.
  3. Run the analysis and review the output and method notes before using it.

A sample you can try

Sample input

An online store needs clear product information to earn customer trust. Good product photos help customers inspect the details. Compressing product photos makes store pages load faster. Website speed improves the shopping experience for customers. Product descriptions should explain materials, dimensions and how to use the item. A clear product description helps customers compare products. Customers check delivery and return policies before buying. Customer reviews can also support a purchase decision.

Sample output

Part 1 (507)
An online store needs clear product information to earn customer trust. Good product photos help customers inspect the details. Compressing product photos makes store pages load faster. Website speed improves the shopping experience for customers. Product descriptions should explain materials, dimensions and how to use the item. A clear product description helps customers compare products. Customers check delivery and return policies before buying. Customer reviews can also support a purchase decision.

Chunks are bounded by UTF-16 character count, not model tokens. Spaces and original content are preserved in JSON chunks. No claim about a model context window.

Read the method, limits and tool-selection guide →