Sanitext vs Skyflow: A Simpler PII Redaction Alternative

What is the difference between Sanitext and Skyflow?

Skyflow is a Data Privacy Vault. It is a design pattern where you isolate sensitive data into a separate, encrypted store, swap the real values for tokens in your own systems, and control who can read the originals through policy and governance. It is a re-architecture of how your application handles data.

Sanitext is a redaction API. You send text to POST /v1/detect or POST /v1/redact and get back entity spans or masked text. There is no vault to build, no data to migrate, and no new system of record. You add one HTTP call where you need it.

The short version: Skyflow changes where your data lives. Sanitext changes what leaves your code as text. They can even coexist. Many teams use a redaction API to strip PII before it reaches logs, prompts, or analytics, while a vault handles the structured records they must store long term.

• —Skyflow: store, tokenize, encrypt, and govern structured PII fields
• —Sanitext: detect and mask PII inside free text on the fly
• —Skyflow is infrastructure you adopt; Sanitext is an endpoint you call

Sanitext vs Skyflow: feature and pricing comparison

The table below compares both on the points evaluators ask about most. Pricing for Skyflow is quote-only and varies by contract, so figures reflect its published model rather than a fixed number.

When is Skyflow the better choice?

Be honest with yourself about the job. If you need to store regulated PII as a system of record, Skyflow is built for that and Sanitext is not.

Choose Skyflow when you need a governed vault for structured data, format-preserving tokenization so downstream systems keep working, fine-grained access policies per field, and a re-architecture that centralizes sensitive data across many services. It is a strong fit for fintech and healthcare teams that must hold card numbers, account data, or patient records for the long term and prove tight control over them.

Sanitext does not store your PII, does not tokenize for reversible round-trips by default, and is not a system of record. If reversible tokenization, residency of stored records, and per-field governance are your core requirements, Skyflow fits the job better.

• —You must store and govern regulated PII as a system of record
• —You need reversible, format-preserving tokenization
• —You want per-field access policies and audit across many services
• —You are re-architecting data handling, not adding a single guardrail

Where Sanitext wins

Sanitext wins on speed to value and cost when the job is masking PII in text rather than storing it.

You sign up, pay through Stripe, get an API key, and run a curl command in about 60 seconds. No solutions engineer, no scoping call, no vault to stand up. Pricing is flat and public: Free gives a one-time 300K characters with no card, then Hobby is $29/mo, Pro $149/mo, and Scale $499/mo, with overage at $0.35 to $0.60 per 1M characters.

Because we own the open-weights model (Apache-2.0, from the OpenAI privacy-filter family) and run it on our own Cloudflare infrastructure, there is zero per-token AI cost and your text never goes to a third-party LLM. We log counts and timings only, not raw text. The model detects PII in 30+ languages and labels FIRSTNAME, LASTNAME, EMAIL, PHONE, ADDRESS, DATE, URL, ACCOUNT, and SECRET, returning either entity spans or text with each span masked as [LABEL].

• —Self-serve in 60 seconds, no sales call or vault build
• —Flat, public pricing with a real free tier
• —30+ languages and 9 entity labels in one call
• —Your text never touches a third-party LLM; no raw-text retention

How to switch or add Sanitext

You do not migrate off Skyflow to use Sanitext, because they cover different ground. You either replace a heavier redaction setup or add Sanitext as a lightweight guardrail.

Adding it is a single integration step. Sign up, grab your API key, and point your text at POST /v1/redact before it hits logs, prompts, support tools, or analytics. The response gives you masked text immediately, so there is no schema change or data migration. Test free against 300K characters first, then pick a plan when you see the detection quality on your own data.

If you currently run Skyflow only to scrub free text, Sanitext can take that load off the vault and cut cost, while you keep Skyflow for the structured records that genuinely need a vault.

• —No data migration: it is an HTTP call, not a new store
• —Validate on the free 300K characters before paying
• —Drop it in front of logs, LLM prompts, tickets, and analytics
• —Keep Skyflow for structured records if you still need a vault

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