Frequently Asked Questions

Updated: 18 June 2026 · The Peerfect team

In short:

Peerfect is a pre-submission pre-reviewer that, before you send your manuscript to a journal, reviews it with a multi-agent AI engine in about 90 seconds and recommends the most suitable targets from a 100K+ journal corpus. It runs natively in Turkish and English, stores your data in the EU, and never uses it to train models.

What is Peerfect and how does it work?

Peerfect is an AI pre-review engine you run before sending your manuscript to a journal. Several specialist agents review your manuscript in parallel; the results are synthesised into a single consolidated decision. At the same time it recommends the most suitable targets from a 100K+ journal corpus. You upload a PDF, abstract or DOI and get the result in about 90 seconds.

Is the pre-submission AI pre-reviewer reliable — does it replace a real reviewer?

No — Peerfect does not replace a journal's formal peer review. Its purpose is to surface weak points, formatting and journal-requirement mismatches, and likely desk reject reasons before you submit. The final decision always rests with the journal's editors and reviewers.

Do my manuscript and data stay private?

Yes. Your manuscript text is used only to compute your review and recommendations, and is stored on our EU infrastructure. It is never used to train foundation models, never sold, and never shared with publishers. See the privacy policy.

Which languages are supported?

The full review pipeline runs natively on Turkish and English manuscripts. For Turkish manuscripts, English journals can also be recommended (cross-lingual matching). Other languages go through English-aligned semantic matching and produce reasonable but not first-class output.

Which disciplines does it cover?

The journal corpus covers 100K+ international journals and 2,500+ Turkish journals. The audit pipeline is discipline-agnostic; recommendations weight discipline-specific signals (top topics, subfields, JCR category) when available.

How are journal recommendations made?

Your manuscript is evaluated against the corpus with semantic, multilingual matching, and the most suitable targets are recommended. For a Turkish manuscript, English journals are proposed as candidates too.

What inputs does it accept?

You can upload a PDF, an abstract or a DOI. The system parses it automatically and detects language and discipline.

How long does an analysis take?

The multi-agent engine reviews in parallel and an analysis takes about 90 seconds. Progress is streamed live.

Does it filter out predatory journals?

Peerfect's corpus consists of indexed academic journals; recommendations come from within this corpus, not from random lists. If you want to assess a journal's credibility yourself, see the predatory journal red flags and check the DOAJ / Scopus index.

How does pricing work?

Peerfect is credit-based. You buy credits in packs and spend them whenever you like. Secure payments are processed through PayTR; purchased credits are automatically added to your account after payment is completed. Your first pre-review report is also free (see below).

How does the free pre-review report work?

New users who register with Peerfect and verify their email address can generate one standard pre-review report free of charge. The offer can be used once, cannot be transferred to another account and expires 30 days after registration. No payment information is required for the free report.

How do I delete my data?

Delete a manuscript from the Inbox to remove its blob within 24 hours; backups roll off in 30 days. Account deletion is in Settings and cascades to all related manuscripts, runs and review reports.

Is Peerfect open source / can I self-host it?

Peerfect is a hosted service. The review and recommendation pipeline runs on our EU infrastructure and isn't distributed to run locally; the models and ranking are proprietary. What each review checks and its approximate cost stay transparent to you inside the app.