Upload files
Upload documents, images and medical scans in one go. Different file types are processed together.
Redactra automatically detects the personal data in your documents and images, then masks or anonymises it in a KVKK-compliant way. Fields that qualify as trade secrets, such as project codes, pricing and client names, are protected with rules you define. Every operation runs on the InfinityQ Intelligence Layer, and your data never leaves Turkiye.
This Service Agreement was concluded on [*], between [*] with National ID No: [*] and [*]; the customer's phone number [*], email address [*] and [*] have been recorded within the scope of carrying out service processes and communication activities.
This Service Agreement was concluded on 11 March 2026, between Ahmet Yılmaz with National ID No: 11111111111 and ABC Teknoloji A.Ş.; the customer's phone number 0532 123 45 67, email address ahmet.yilmaz@example.com and address Barbaros Mahallesi Begonya Sokak No: 12 Daire: 4 Beşiktaş / İstanbul have been recorded within the scope of carrying out service processes and communication activities.
Supported formats
Most anonymisation tools call language models hosted abroad for detection. That turns a tool meant to protect personal data into a source of risk. Redactra removes this dependency entirely.
Detection and anonymisation run on a model built by InfinityQ and trained on corporate document language. It is not a wrapper around a third-party service.
Your documents are never sent to third-party APIs at any stage. The system holds no outbound connection capable of transmitting data.
Processing and storage infrastructure is located within Turkiye. For enterprise deployments the entire stack can run inside your own network.
The process runs in five steps. You see what was detected at each stage and review the result before downloading.
Upload documents, images and medical scans in one go. Different file types are processed together.
Pick an industry template or describe your own redaction rules in plain text.
The system scans your files, detects personal data fields and sorts them into categories.
Review the detected fields category by category and remove any you do not want redacted.
Download the output redacted, labelled or filled with dummy data.
Personal data fields inside a document are identified, classified and transformed according to the method you choose. Detection results can be reviewed and edited category by category before download.
Automatically identifies sensitive and personal data in text, pinpointing its location and type. Names, company titles, national and tax IDs, addresses, phone numbers, emails and payment details are all covered.
Makes documents shareable by masking detected data, labelling it, or replacing it with realistic dummy values. Sensitive areas in images and medical scans are covered with a black bar.
Tailors processing rules to your organisation. Add or remove labels, manage allowlists and blocklists, define department-level rules and data processing profiles.
Describe anonymisation behaviour in plain text. Rules such as “hide project codes and unit prices” remain in effect across later sessions.
No organisation has to write its rules from scratch. Industry templates arrive with the data types and exceptions common to that field already defined — and you can layer your own rules on top.
Paste the text you want anonymised, choose a transformation method and see the result instantly. Text you enter is not stored after processing.
This area is for demonstration and covers a limited set of data types. Create your free account for full coverage and file uploads.
In every document flow containing personal data, to make that data shareable.
Speeds up personal data masking across case files, contracts and official documents.
Enables controlled processing of sensitive data in candidate, employee and payroll records.
Separates documents containing sensitive data so they can be shared between departments in line with regulation.
Detects personal data in call and transcript text, reducing risk in quality monitoring and analysis.
Masks personal data in customer conversations so records can be used safely in business intelligence and product analytics.
Masks personal data in sales and operations correspondence, enabling safe internal sharing.
Beyond the interface, enterprise deployments can integrate directly with your systems. Anonymisation becomes a step in your document management pipeline.
curl -X POST https://api.infinityq.ai/v1/anonymize \
-H "Authorization: Bearer <token>" \
-H "Content-Type: application/json" \
-d '{
"text": "Ahmet Yılmaz ile 4.750.000 TL bedelli sözleşme imzalandı.",
"mode": "label",
"policy": "hukuk"
}'Connects over a standard REST structure with no extra client library.
Instant calls for a single document, a batch queue for archive scans.
In on-premise deployments data never leaves your network.
Every call is recorded and works alongside your audit processes.
You are charged only for anonymized pages; there is no extra charge for the number or size of files. All processing happens on InfinityQ infrastructure and your documents never leave Türkiye.
For freelancers and small offices that anonymize documents occasionally.
TRY 11.80 per page · excl. VAT
For teams anonymising documents regularly but at limited volume.
TRY 10.60 per page · excl. VAT
For practices and internal teams with growing monthly document volume.
TRY 9.23 per page · excl. VAT
Law firms, compliance and human resources teams processing high document volumes.
TRY 7.49 per page · excl. VAT
High-volume, regulated organisations that need system integration.
Determined by volume and deployment
All prices exclude VAT. Only successfully processed pages count against your allowance; pages that are unreadable or fail are not charged. The page count and the amount to be deducted are shown before processing begins. Add-ons are available to active subscribers only and are valid until the end of the period they are added to; unused allowance does not carry over.
Redactra transforms data before it enters analysis and sharing processes, removing the risk from the outset.
Filters personal data before analysis and processing, reducing data leakage and compliance risk.
Masking profiles expose only as much of the data as is needed, making data minimisation easier to uphold.
Produces the same transformation for the same text and policy every time, keeping audit and reporting consistent.
Let's define your redaction policies together. In a short demo, see the results on your own document and clarify your deployment and integration needs.