Result differs from Mnemonic

[catching641]

My apologies if the issue has happened because I have used the webpage incorrectly but I was using the webpage to verify a checksum of the code I was programming in Python and the results are different.

Then I checked my results with the mnemonic library and both are the same, so I guess there is no problem in my code, so probably I was using the site incorrectly and it was a misunderstanding. It would be nice if the webpage would clarify this.

Attached is the image of the web page with the calculated checksum and the code from Mnemonic that I used.

`from mnemonic import Mnemonic

bits = "1110011010100110111100111101000010110101100001101110011000100101111100110000100111111000001001110110010001100001010111010101011000110011110110100110100100001011101111100010111010011000000000000001001101000010010011111100100101001000101101101111001000111101"
bytes = int(bits, 2).to_bytes((len(bits) + 7) // 8, byteorder='big')
mnemo = Mnemonic("english")
mnemonic = mnemo.to_mnemonic(bytes)
print(mnemonic)`

[samuel-lope]

I also identified the same issue, and I'm curious to know if I'm misusing the tool.

[iancoleman]

For 'Mnemonic Length' try selecting 'Use Raw Entropy (3 words per 32 bits)`

Use Raw Entropy checksum for the bits in original post: 00101111
24 words checksum for the bits in the original post: 00011100

The reason is the entropy is hashed unless the Use Raw Entropy option is selected.

Does this different option for Mnemonic Length give the desired result?

[RodrigoSKohl]

I tested here and saw that node.js bip39 lib uses Raw Entropy, I returned hexademical entropy and tested it on the website and it returned the same words.