Change Detection - Diff

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Compare ~~from~~ to

Style Words Lines Chars JSON Ignore Whitespace

Jump

Text
Screenshot
Extract Data

Not yet seconds ago

            False

Not yet seconds ago

Current error-ing screenshot from most recent request

12 hours ago

Supplies Toner Cartridges Component Status Life Remaining Estimated Pages / Days Black Toner Reorder 10% 3000 4 Cyan Toner OK 90% 18500 61 Magenta Toner OK 80% 17000 57 Yellow Toner OK 20% 3500 11 Drum Cartridges Component Status Life Remaining Estimated Pages / Days Drum Cartridge (R1) OK 57% 106500 163 Drum Cartridge (R2) OK 69% 115000 384 Drum Cartridge (R3) OK 93% 155500 517 Drum Cartridge (R4) OK 69% 115000 384 Waste Toner Container Component Status Waste Toner Container OK Serviceable Parts Component Status Life Remaining Estimated Pages / Days Transfer Belt Cleaner OK 54% 87000 134 Second Bias Transfer Roll OK 79% 287000 441

Supplies Toner Cartridges Component Status Life Remaining Estimated Pages / Days Black Toner Reorder 10% 3000 4 Cyan Toner OK 90% 18500 61 Magenta Toner OK 80% 17000 57 Yellow Toner OK 20% 3500 11 Drum Cartridges Component Status Life Remaining Estimated Pages / Days Drum Cartridge (R1) OK 57% 106500 163 Drum Cartridge (R2) OK 69% 115000 384 Drum Cartridge (R3) OK 92% 153500 512 Drum Cartridge (R4) OK 69% 115000 384 Waste Toner Container Component Status Waste Toner Container OK Serviceable Parts Component Status Life Remaining Estimated Pages / Days Transfer Belt Cleaner OK 54% 87000 133 Second Bias Transfer Roll OK 79% 287000 441

Diff algorithm from the amazing github.com/kpdecker/jsdiff

For now, Differences are performed on text, not graphically, only the latest screenshot is available.

12 hours ago

Current screenshot from most recent request

This tool will extract text data from all of the watch history.

RegEx to extract

A RegEx is a pattern that identifies exactly which part inside of the text that you want to extract.

For example, to extract only the numbers from text ‐
Raw text: Temperature 5.5°C in Sydney
RegEx to extract: Temperature ([0-9\.]+)

Be sure to test your RegEx here.

Each RegEx group bracket () will be in its own column, the first column value is always the date.