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Updated 4 September 2026 · Independent comparison

EvidenceHunt vs Petal:
which should you use?

EvidenceHunt and Petal, side by side. Find the one that fits what you need to do.

Find your best fit

The 30-second answer

EvidenceHunt is built for search, research & academics. Petal a document library with AI built in rather than a chat window you paste into, so your sources stay organised between sessions.

Pricing, simplified

Start free. Upgrade when you need more.

2 of 2 have a free plan 0 of 2 prices re-read automatically · how we know No paid placement

The 30-second comparison

If you only read one section, make it this one. Rows where both sides say the same thing are left out — the point is where they differ. Where each row came from is listed underneath.

EvidenceHunt and Petal side by side, with the better fit for each row.
CategoryEvidenceHuntPetalBetter fit
What it's built forScoped to clinical evidence and built with practising clinicians, so the filters match how medical literature is actually appraised.A document library with AI built in rather than a chat window you paste into, so your sources stay organised between sessions.EvidenceHunt
Fit for search, research & academicsBuilt for thisStrong fitEvidenceHunt
Free planYes. Basic plan, free: unlimited questions on the low-cost models plus 3 PRO-quality questions, with chat historyYes. Free, with 1GB of cloud storage, one seat and three guests. Support is included rather than priorityTie
Cheapest way to payNo verified ladder yet.$4.25 a month.Tie
What the paid tiers cost
  • One person, from priced on request
  • Per seat, from priced on request
  • One person, from $4.25/month
  • Enterprise, priced on request
Tie
What to watch out forMedicine only, and no use for research in any other field. It prices in euros rather than dollars, and the free tier gives you 3 PRO-quality questions before dropping you to the low-cost models.You have to commit to keeping documents in it for the value to appear. The individual tiers are separated by storage rather than by features, and the two cheapest are priced for .edu addresses — without one they cost around two thirds more.Tie
Who it is usually forresearchersresearchers, working professionals, studentsTie
Sources you can checkAnswers carry sources you can open and check.Answers arrive without sources attached.EvidenceHunt
Made byEvidenceHunt — Amsterdam, NL.Petal — Cambridge, US.Tie

EvidenceHunt is ahead on 3 of the 9 rows compared, 3 of them about how well it does the job itself. That is a clear lead rather than a tiebreaker.

Overall pick

EvidenceHunt

Scoped to clinical evidence and built with practising clinicians, so the filters match how medical literature is actually appraised.

✓ The job is mainly search, research & academics ✓ Scoped to clinical evidence and built with practising clinicians, so the filters match how medical literature is actually appraised. ✓ You need sources you can open and check ✓ It is built for search, research & academics
Choose Petal instead if…

A document library with AI built in rather than a chat window you paste into, so your sources stay organised between sessions.

Petal is the better answer when the job is what it was built for rather than what the pick above does broadly.

✓ A document library with AI built in rather than a chat window you paste into, so your sources stay organised between sessions. ✓ You are among working professionals or students ✓ Free, with 1GB of cloud storage, one seat and three guests. Support is included rather than priority ✓ It is aimed at researchers, working professionals, students

How we know

Every row that separated these two, and where it came from. Nothing here is a hands-on test — if a line rests on a vendor’s own pricing page, it says so and links it.

The 3 rows that decided this page, with the source for each.
RowFavoursWeightWhere it came from
What it's built forEvidenceHuntHow well it does the jobFrom this site’s own catalogue record for each product — compiled by hand, not imported. How a product gets listed
Fit for search, research & academicsEvidenceHuntHow well it does the jobBoth products are listed under search, research & academics in the catalogue, and this is the fit recorded against each listing. Everything listed under search, research & academics
Sources you can checkEvidenceHuntHow well it does the jobFrom this site’s own catalogue record for each product — compiled by hand, not imported. How a product gets listed

The prices

EvidenceHunt. Read by hand off evidencehunt.com on 4 September 2026. It is not on the monthly re-check, so confirm there before paying. evidencehunt.com/pricing

Petal. Read by hand on 4 September 2026, because Petal cannot be read automatically: Plans live at /resources/pricing, not /pricing, which 404s. Still drawn in JavaScript, so transcribed by hand; re-verify the same way. petal.org/resources/pricing

The ratings

The category these two share. Search, Research & Academics — both are listed there in the catalogue, and the fit recorded against each listing is a judgement made here, by hand.

The nine-category grid below. Derived from what each product is listed for, by one script, once per build — so the same pair always reads the same. It is a derivation, not a review.

What this is not

Neither product was run side by side to produce this page. Nobody was paid to appear on it and nothing here is ranked by commission.

To put the same question to both and read the answers yourself, run them side by side — that is a live test, and this is not.

Choose based on what you’re doing

All ten categories, including the ones where neither of these is the answer. These ratings are derived from what each product is listed for, not from running it — a rating here is a reading of the record, and the record is linked.

01

General-Purpose AI Assistants

Questions, brainstorming, explanations, everyday tasks, decision-making, general advice.

EvidenceHunt
Not a good fit
Petal
Not a good fit
Best choice: Neither
02

Search, Research & Academics

Web research, deep research, books, academic papers, citations, news, fact-checking.

EvidenceHunt
Built for this
Petal
Good fit
Best choice: EvidenceHunt
03

Writing, Communication & Language

Emails, reports, essays, editing, summarizing, translation, presentations.

EvidenceHunt
Not a good fit
Petal
Not a good fit
Best choice: Neither
04

Coding, Data & Technical Work

Programming, debugging, data analysis, spreadsheets, math, engineering, technical research.

EvidenceHunt
Bad fit
Petal
Bad fit
Best choice: Neither
05

Business, Finance & Professional Work

Business strategy, investing, market research, legal, sales, HR, accounting, consulting.

EvidenceHunt
Not a good fit
Petal
Not a good fit
Best choice: Neither
06

Image & Design

Image generation, photo editing, logos, graphics, product design, advertising creatives.

EvidenceHunt
Bad fit
Petal
Bad fit
Best choice: Neither
07

Video

Video generation and editing, clipping, subtitles, avatars, animation and motion capture.

EvidenceHunt
Bad fit
Petal
Bad fit
Best choice: Neither
08

Audio, Voice & Music

Voice generation, transcription, music, dubbing, sound cleanup and podcast production.

EvidenceHunt
Bad fit
Petal
Bad fit
Best choice: Neither
09

Marketing & Content Creation

Social media, SEO, advertising, copywriting, content ideas, scripts, brand development.

EvidenceHunt
Bad fit
Petal
Bad fit
Best choice: Neither
10

Productivity, Automation & Personal Life

AI agents, workflows, scheduling, meetings, organization, shopping, travel, personal finance.

EvidenceHunt
Not a good fit
Petal
Not a good fit
Best choice: Neither
Pick EvidenceHunt if

Scoped to clinical evidence and built with practising clinicians, so the filters match how medical literature is actually appraised.

Amsterdam, NL
The job is mainly search, research & academics
Scoped to clinical evidence and built with practising clinicians, so the filters match how medical literature is actually appraised.
You need sources you can open and check
It is built for search, research & academics
Pick Petal if

A document library with AI built in rather than a chat window you paste into, so your sources stay organised between sessions.

Cambridge, US
A document library with AI built in rather than a chat window you paste into, so your sources stay organised between sessions.
You are among working professionals or students
Free, with 1GB of cloud storage, one seat and three guests. Support is included rather than priority
It is aimed at researchers, working professionals, students

Pricing, simplified

The plans people actually compare, read from each vendor’s own page.

PricingSimple, up-to-date plan overview.
EvidenceHuntby EvidenceHunt
Petalby Petal
Free version
EvidenceHunt
Yes — Free plan availableUnlimited questions on the low-cost models plus 3 PRO-quality questions, with chat history
Petal
Yes — Free plan availableFree, with 1GB of cloud storage, one seat and three guests. Support is included rather than
Individual plans
EvidenceHunt
Pro —
Petal
Plus $4.25 / month$2.55 / month (annual)
Advanced $8.49 / month (annual)
Premium $29.99 / month$25.49 / month (annual)
Teams Starter $59.99 / month$50.99 / month (annual)
Teams Pro $119.99 / month$101.99 / month (annual)
Business plans
EvidenceHunt
Custom pricingTeam or Organisation
PetalNot sold to teams
Enterprise
EvidenceHuntNot published
Petal
Custom pricingTeams Enterprise
View full details
EvidenceHuntView EvidenceHunt pricing
PetalView Petal pricing
Interactive

Tell us what you use AI for

Pick your main job and the verdict below changes to match. Every answer is on the page already, so this works as a reader, not a lookup.

The verdict for that job
EvidenceHunt
EvidenceHunt. It is built for search, research & academics; Petal does it well without it being its focus; both have a free plan you can start on.
9 rows compared

Frequently asked questions

Is EvidenceHunt or Petal better?

EvidenceHunt is ahead on 3 of the 9 rows compared, 3 of them about how well it does the job itself. That is a clear lead rather than a tiebreaker. EvidenceHunt is built for search, research & academics; Petal does it well without it being its focus; both have a free plan you can start on. EvidenceHunt: Scoped to clinical evidence and built with practising clinicians, so the filters match how medical literature is actually appraised. Petal: A document library with AI built in rather than a chat window you paste into, so your sources stay organised between sessions.

Is EvidenceHunt or Petal cheaper?

Only one of the two publishes a ladder we have verified, so a like-for-like comparison is not possible yet.

Do EvidenceHunt and Petal both have free plans?

Yes. EvidenceHunt: Basic plan, free: unlimited questions on the low-cost models plus 3 PRO-quality questions, with chat history. Petal: Free, with 1GB of cloud storage, one seat and three guests. Support is included rather than priority.

What should I watch out for?

EvidenceHunt: Medicine only, and no use for research in any other field. It prices in euros rather than dollars, and the free tier gives you 3 PRO-quality questions before dropping you to the low-cost models. Petal: You have to commit to keeping documents in it for the value to appear. The individual tiers are separated by storage rather than by features, and the two cheapest are priced for .edu addresses — without one they cost around two thirds more.

Read more

EvidenceHunt

What it is for, who makes it, what it costs and what to use instead.

Petal

What it is for, who makes it, what it costs and what to use instead.

Best AI for Research

Web research, deep research, books, academic papers, citations, news, fact-checking.

How we compare AI tools
Every row is generated from the same record the rest of the site is built on, so this page cannot drift from what we say elsewhere. We separate winner, tie and depends rather than forcing each category into a ranking, and we drop rows where both sides say the same thing. A pick is only called an overall pick when it leads on rows about how well the tool does the job; a lead that rests on price or audience alone is labelled as one. Nothing here is a hands-on test — how we know lists the source and date behind every deciding row.