
Redactable
eleyed
Acuity AutoRedact
Anonymize360.ai
RedactProof
RedactSense
AI Anonymizer
Automatic GDPR document anonymization built for Spain: detects and removes personal data, including DNI, NIE and IBAN, from PDF, Word, spreadsheet and image files, on EU servers.

SQLizer
Table Format Converter
TableToSQL
OI ConvertCSV
Online Convert
Convertio
ExtendsClass SQL Converter
Convert CSV, TSV & delimited files to SQL — in your browser
Which is more popular?
Website, pricing, platforms and company facts side by side.
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| Website | anonimiza.do | getsqlified.com |
| Pricing | ||
| Platforms | — | |
| Company | Startup from Spain | 2025 |
| Listed in |
In their own words, as submitted to SaaSHub.


anonimiza.do anonymizes documents automatically so they can be shared or published under the GDPR. Upload a PDF, Word file, spreadsheet, scan or ZIP; it finds the personal data, replaces it according to your rules and returns the file in its original format, without metadata. It is built for...
SQLified is a browser-based tool that converts CSV, TSV, and other delimited data files into clean, import-ready SQL —CREATE TABLE plus batched INSERT statements — for PostgreSQL, MySQL, SQLite, and SQL Server. Unlike free one-off converters that choke around 100K rows, SQLified is built for...
What each product offers, as listed by its team.


Possible disadvantages
An editorial look at what each product does well and who it suits.


No analysis of anonimiza.do yet.
Overall verdict
Why this product is good
Recommended for
How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing anonimiza.do and SQLified.
anonimiza.do's answer
It is built around Spanish documents rather than adapted to them. It validates DNI, NIE, CIF, Social Security numbers and IBAN by check digit, deliberately leaves references to laws and decrees untouched, groups every mention of the same person so one decision applies throughout, and finds personal data that is easy to miss: inside QR codes and barcodes, in Word footers and tracked comments, and in indirect references such as "the mayor of a town of 3,000". It is also certified under Spain's National Security Framework (ENS).
SQLified's answer:
Our ability to infer data types, and produce massive insert statements quickly across multiple dialects.
anonimiza.do's answer
anonimiza.do is built by Cedesa Digital S.L., a software company in Badajoz, Spain, certified under Spain's National Security Framework (ENS). Its CEO, Suso Merino, is a computer engineer with a university degree in technology law who works as a court-appointed computer forensics expert in Spain. The product follows the same standard: anonymization has to hold up under scrutiny, not just look right on screen, so it replaces the data instead of covering it, strips metadata, keeps an activity log and validates Spanish identifiers by check digit.
SQLified's answer:
After using many online tools and being disappointed, I realized there was a need for a file that can create clean, type aware sql for bulk inserts. The product saves me tons of time every month dealing with large data sets in the payment industry and has reduced frustrations in dealing with them.
SQLified's answer:
There are numerous competitors, but none that do what SQLified does well: this is type inference, and creating runnable SQL script for extremely large inserts in multiple dialects.
anonimiza.do's answer
Organisations in Spain that have to share or publish documents containing personal data: law firms and in-house legal teams, HR departments, public administrations publishing on transparency portals and contractor profiles, clinics and hospitals preparing records for research, accounting and advisory firms, and insurers. It suits both the professional who anonymizes a few documents a month and the organisation that needs batches, an API and single sign-on.
SQLified's answer:
SQLified is designed for the solo developer, or the analytical employee dealing with large data sets, csv, or delimited files every day, and struggling with bulk insert. I want to eliminate that struggle so the real work can be done.
anonimiza.do's answer
Because black boxes drawn in a PDF viewer do not anonymize anything: the text stays underneath and comes back with copy and paste. anonimiza.do actually replaces the data, removes metadata and returns the file in its original format, with review before publishing and an activity log. It recognises Spanish identifiers out of the box, runs on EU servers with no international transfers, and starts free: 3 documents a month with no credit card, then €29/month (€23 billed annually) for 50 documents with OCR, batches and API.
SQLified's answer:
Our tools are simple, effective, and require little processing power. We store no data; all work is "ephemeral" and done on the users machine. We do not track, store, or maintain any datasets whatsoever in regards to whatever is converted on the site. We are also not trying to be something we are not. We do what we do, which is flat file to SQL dialect conversion, and we do it well.
anonimiza.do's answer
Detection combines several layers, because no single method works for everything: pattern rules with check-digit validation for structured identifiers such as DNI, NIE, Social Security numbers and IBAN (ISO 13616), NLP models for names and context, coreference resolution to group mentions of the same person, and OCR for scans and photos, where the substitution is applied to the pixels themselves. It runs as a web application with a REST API on AWS in Frankfurt (EU), with TLS 1.3 in transit and AES-256 at rest.
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