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AI Fuzzy Matching

Just Upload.
AI finds every match.

Clean messy company lists in minutes. Handles typos, abbreviations & formatting differences that VLOOKUP and exact match can't catch.

✓ 99% accuracy ✓ AI trained on 1M+ pairs ✓ Free — no install
99% Accuracy
Beats every Excel method
Agentic AI Matching
Catches what rules miss
Thousands in minutes
Not hours, not scripts
🔒
Secure
Data never stored
▶ See it in action — 40 sec demo

Upload a messy file → AI finds fuzzy duplicates → download a clean sheet.

🔒 Secure — data never stored ⚡ AI trained on 1M+ company pairs 📊 99% match accuracy ✅ Free: 500 rows · Sign in for 2,000 credits →

No install required — runs in your browser. CSV & Excel support. Zero setup.

What is fuzzy deduplication?

Classic deduplication only catches rows that match exactly. In practice, customer and vendor data rarely matches exactly: "Acme Corp" vs "ACME CORPORATION", "St." vs "Street", or two people sharing a name with a middle initial in one file and not the other. Fuzzy duplicate detection scores how similar two records are and surfaces likely duplicates for human or automated decisions.

DedupFuzzy focuses on this problem space: you upload structured data, explore candidate pairs, and use tooling tuned for AI-powered matching workflows—using agentic AI that autonomously verifies uncertain matches — so you are not blindly auto-merging rows.

What you can do with DedupFuzzy

Fuzzy matching on columns Compare datasets on the fields that matter—names, addresses, IDs—and see ranked candidates instead of only exact keys.
AI-assisted adjudication Our AI agent autonomously reviews hard pairs when rules alone are not enough — while you stay in control of outcomes.
Deduplication & golden records Move from duplicate groups toward consolidated "golden" rows for reporting and downstream systems.
Caches & learning signals The AI agent learns from past decisions so repeated workflows stay faster and more accurate over time.

How it works

  1. Upload your tabular data—CSV or Excel spreadsheets.
  2. Select the company name column. AI handles abbreviations, typos, suffixes, and formatting differences.
  3. Review matches, download clean results. Golden records merge duplicates into one best row.

Who it is for

  • RevOps and sales ops cleaning CRM and lead lists before campaigns.
  • Data teams merging acquisitions or legacy databases with inconsistent naming.
  • Anyone searching for a dedup or fuzzy matching tool online without standing up infrastructure.

Frequently asked questions

Is DedupFuzzy the same as exact duplicate removal?

No. Exact dedup only removes identical rows. DedupFuzzy emphasizes similar rows that humans would often merge—ideal when your priority is data quality, not just byte-identical copies.

Does this replace my database or ETL?

DedupFuzzy is a focused deduplication assistant. Many teams use it for ad hoc files and proof-of-concept merges, then feed results back into warehouses, CRMs, or MDM tools.

How accurate is the matching?

Our engine achieves 99% accuracy on company name matching using a proprietary agentic AI engine that autonomously verifies borderline cases. It handles abbreviations, typos, legal suffixes, and formatting differences that trip up traditional tools.

Trusted by data teams everywhere

See what our users are saying about DedupFuzzy

★★★★★

"I run a small e-commerce shop and kept sending duplicate marketing emails to the same customers. Uploaded my list, got clean results in under a minute. Exactly what I needed."

JT
James T.
E-commerce Owner
★★★★★

"The fuzzy matching is surprisingly accurate. It matched 'Johansson' with 'Johanson' and 'J. Smith' with 'John Smith' — things Excel's EXACT match would never catch."

PL
Priya L.
Data Analyst
★★★★★

"Way simpler than writing Python scripts for dedup. I just drag my CSV in, pick the columns, and it handles everything. My non-technical team can use it too."

DK
David K.
Marketing Director
★★★★★

"Used it to clean up a mailing list before a product launch. Found over 300 near-duplicate entries across 5,000 rows. The threshold slider is a great touch — lets you control how strict the matching is."

SN
Sarah N.
Product Manager
★★★★★

"Finally, a dedup tool that doesn't require a PhD to set up. Uploaded my Excel file, selected the column, and had results in seconds. No Python, no formulas, no headaches."

AW
Alex W.
Freelance Consultant
★★★★★

"We use it every month to clean our lead database before importing into Salesforce. The fuzzy match catches all the 'Inc' vs 'Inc.' and 'LLC' vs 'L.L.C.' variations. Huge time saver."

RC
Rachel C.
Sales Operations Lead

Built by people who got tired of messy spreadsheets

Hi, I'm Sam Kale, co-founder of DedupFuzzy, along with Alex K and Santy Sean. After years of watching teams waste hours manually hunting for duplicate rows in spreadsheets, we built the tool we wished existed — one that uses fuzzy matching to catch the duplicates that exact-match filters miss.

Today, our team of 20 engineers and AI specialists is focused on building AI agents that solve real data problems. DedupFuzzy is our first product — no complex setup, no enterprise sales calls — just upload your file, review the matches, and download clean data.

👥
Team of 20
Engineers & AI specialists
📍
San Diego, California
Based in 92130
🤖
AI Agents Company
DedupFuzzy is our first product

Ready to clean your duplicates?

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