This extension, will parse stream of data which is in tag length value format.
TLV Parser: An Innovative Chrome Extension for Alphanumeric Data
TLV Parser is a unique Chrome extension designed to parse alphanumeric data streams in Tag Length Value format. Whether you encounter such data on a webpage or wish to manually input it, this extension breaks down the data into an easy-to-understand format. With the power to either select text directly from the webpage or paste it into the tool, TLV Parser makes data interpretation simple and user-friendly.
Extension stats
Manifest V2
Permissions:
- contextMenus
- storage
Size: 56.76K
Email: sa*****@gmail.com
Full description: See detailed description
Other platforms
Not available on Android
Not available on Firefox
Not available on Edge
User reviews
Intuitive and very useful!
by
Viktorija Jubele, 2024-10-23
While coping data, chrome is crashing & not able to copy the parse data
by
Prateek Kakade, 2024-09-10
Lightweight and very useful.
by
Rodolfo Andrade, 2021-02-01
Extension safety
Risk impact
TLV Parser does not require any sensitive permissions.
Risk impact analysis details
- Low Request access to the following domains:
Risk likelihood
We don't have sufficient data to confidently determine the risk likelihood of TLV Parser. Use it at your own risk.
Risk likelihood analysis details
- High This extension has low user count. Unpopular extensions may not be stable or safe.
- Low **** ********* *** ******* **** **** * ****** **** ***** ******** *** **** ****** ** ** ****** *** *****
- Low **** ********* *** ***** **** **** * ****** **** ***** ********** *** **** ****** ** ** ****** *** *****
- Good **** ********* ********* ** * ******* ********* ** ****** *** *****
- Good **** ********* *** **** **** *******
Upgrade to see full risk analysis details
Similar extensions
Here are some Chrome extensions that are similar to TLV Parser:
ondrej.hlavacek
180
chenzhiwei
7K
arx.8.dev
10K
hakobera
100K
https://atmajs.com
87
thalesgroup.com
10K
wuzifang
46
Rage App
80K
Peter Prikryl
100K
roi.benhaim
219
Stanford HCI Research Group
215
Morten Frederiksen
125