Re: Extension - multilingual_fuzzy_match : Multilingual phonetic matching extension for PostgreSQL - Mailing list pgsql-general

From lakshmi
Subject Re: Extension - multilingual_fuzzy_match : Multilingual phonetic matching extension for PostgreSQL
Date
Msg-id CAEvyyTiqBtpvDHOZePdMPQNoXx6RQvuggAYCD1CO9HKiBtBBQg@mail.gmail.com
Whole thread
In response to Fwd: Extension - multilingual_fuzzy_match : Multilingual phonetic matching extension for PostgreSQL  (Blessy Thomas <blessy456bthomas@gmail.com>)
List pgsql-general
Hello all,

I hope this mail finds you well.

I would like to inform you that as my friend has moved forward with another offer I will be taking over her work related to the multilingual_fuzzy_match extension going forward. My name is Lakshmi, and I will be handling this work from now on. Please feel free to reach out to me for any queries, discussions or updates.

Looking forward to working with you all.

Thank you.

Regards,
Lakshmi

On Mon, Apr 13, 2026 at 11:22 AM Blessy Thomas <blessy456bthomas@gmail.com> wrote:


---------- Forwarded message ---------
From: Blessy Thomas <blessy456bthomas@gmail.com>
Date: Mon, 2 Mar 2026 at 12:55
Subject: Extension - multilingual_fuzzy_match : Multilingual phonetic matching extension for PostgreSQL


Hello PostgreSQL Community,

I would like to introduce a PostgreSQL extension called multilingual_fuzzy_match. This extension enables multilingual name normalization, transliteration, and fuzzy phonetic matching directly inside PostgreSQL at query time.

1. What Problem It Solves:
In multilingual datasets (especially Indian language datasets), the same name may appear in:
- Different scripts
- Different transliterations
- Slight spelling variations
- Multiple languages

For example:
राम ≈ Raam ≈ رَام ≈ ராம்
Traditional equality or LIKE queries fail in such cases. Even trigram matching doesn’t fully address cross-script phonetic similarity.

2. What This Extension Does

- Detects the script of the input text
- Performs transliteration and normalization
- Generates a phonetic key
- Uses Levenshtein distance (via python-Levenshtein)
- Returns similarity-scored results
All of this happens inside PostgreSQL using PL/Python (plpython3u).

3. Key Features
- No schema changes required
- Query-level matching
- Supports 11 major Indian scripts:
Devanagari, Tamil, Telugu, Bengali, Urdu, Malayalam, Kannada, Odia, Gujarati, Punjabi
- Works on existing tables

4. Requirements
- PostgreSQL 17 (compiled with Python support)
- Python 3.12+
- plpython3u
- Python packages:
   pip install indic-transliteration python-Levenshtein

5. Example Usage
-----------------------------------------------------------------------------------------------------------------------------
postgres=#
SELECT * FROM fuzzy_match('names_native_dist', 'name', 'Rahul')
WHERE distance <= 1;
 id | name  | translit | normalized | fuzzy | distance
----+-------+----------+------------+-------+----------
  1 | राहुल  | rAhula   | rahul      | rahul |        0
  2 | রাহুল  | rAhula   | rahul      | rahul |        0
  4 | ರಾಹುಲ್ | rAhul    | rahul      | rahul |        0
  5 | Rahul | Rahul    | rahul      | rahul |        0
(4 rows)
--------------------------------------------------------------------------------------------------------------------------------

6. Feedback Requested

I would really appreciate feedback from the community on:
- Extension design approach
- Performance considerations
- Suitability for PGXN submission
I would love suggestions, improvements, and any guidance on making this production-ready. I’m sharing this not just as a project, but as a starting point for discussion about multilingual data handling inside PostgreSQL.

Looking forward to your thoughts and critiques.
Thank you!

Regards
Blessy Thomas

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