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Editorial Team
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Editorial Team
Asked: May 11, 20262026-05-11T21:53:28+00:00 2026-05-11T21:53:28+00:00

I have latin1 encoded data sitting in a UTF-8 mysql database, how do I

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I have latin1 encoded data sitting in a UTF-8 mysql database, how do I fix this? There is no original data to go from unfortunately.

I figured out this much as the only way I could display the data correctly was to set everything latin1 in PHP, HTML and MySQL.

Once this is completed, I can change everything back to utf-8 in my html and php.

Versions:
mysql Ver 14.12 Distrib 5.0.51a, for debian-linux-gnu (x86_64) using readline 5.2

EDIT:
I should mention, everything is working OK as I am telling PHP and HTML to use latin1 encoding, however, this just seems bad to me.

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  1. Editorial Team
    Editorial Team
    2026-05-11T21:53:28+00:00Added an answer on May 11, 2026 at 9:53 pm

    I believe that this article does exactly what you need to.

    I’ve paraphrased the steps you need to take below – replace ‘MyDb’ with the name of your database. I would recommend making a backup before you begin!

    USE information_schema;
    SELECT CONCAT('ALTER TABLE ', table_name, ' MODIFY ', column_name, ' ', REPLACE(column_type, 'char', 'binary'), ';') FROM columns WHERE table_schema = 'MyDb' and data_type LIKE '%char%';
    SELECT CONCAT('ALTER TABLE ', table_name, ' MODIFY ', column_name, ' ', REPLACE(column_type, 'text', 'blob'), ';') FROM columns WHERE table_schema = 'MyDb' and data_type LIKE '%text%';
    SELECT CONCAT('ALTER TABLE ', table_name, ' MODIFY ', column_name, ' ', column_type, ' CHARACTER SET utf8;') FROM columns WHERE table_schema = 'MyDb' and data_type LIKE '%char%';
    SELECT CONCAT('ALTER TABLE ', table_name, ' MODIFY ', column_name, ' ', column_type, ' CHARACTER SET utf8;') FROM columns WHERE table_schema = 'MyDb' and data_type LIKE '%text%';
    

    Copy the output of all the SELECT statements above into a SQL script. Add the following to it:

    ALTER DATABASE MyDb CHARACTER SET utf8;
    

    Switch to MyDb (USE MyDb;) and run the SQL script.

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