Diglot vs Jenni AI
Jenni tells you a paragraph is weak. Diglot tells you why, in your first language, and records that you wrote the fix yourself.
- A reviewer-style flag means little to you until someone explains the why
- You want the readiness check and the authorship proof living together
- Your hard step is Spanish-to-English, not predicting the next line
- You want the vocabulary you fought with to return as spaced review
No credit card required · Your text opens in the editor after sign-up
Example from the comparison below. Your own text gets its own suggestions.
Feedback you can act on, in your own language
Jenni Plus caps autocomplete at 5,000 a month; only Pro is unlimited. Diglot searches nine scholarly indexes (OpenAlex, Semantic Scholar, Crossref, PubMed, Europe PMC, arXiv and more), cites what it finds in your draft, explains feedback in your first language and records how you wrote it.
- Each flag explains the habit behind it, glossed into your first language.
- The readiness check and your Authorship Certificate live in the same document.
- Academic words you struggled with come back later as spaced review.
Autocomplete and citations
Keep writing with Tab and cite in 10,852 styles
Diglot suggests the next sentence in grey; Tab keeps it. /cite-paragraph adds in-text citations and the reference list in APA, MLA, Chicago or any CSL style.
- Suggestions continue your own argument
- In-text citations and a reference list
- Every insertion waits for your approval
Your own PDFs
Ask the papers you uploaded and cite the page
Upload the PDFs you are writing from. /library answers from them with the page number, and /check-sources looks up each DOI before you submit.
- Answers from your sources
- Page numbers stay attached
- DOIs checked before you submit
Stress-test
Find the counter-arguments before a reviewer does
Run /refute and Cowriter argues against your paragraph: reverse causality, missing controls, a leap in logic. Then it proposes an edit you can accept or reject.
- Concrete weaknesses, not general advice
- A proposed fix for each one
- You decide what changes
One window instead of five tabs and five bills
Before: five tabs
- Jenni AIAutocomplete and citations, but no help with a second language.~$20Unlimited, monthly
- DeepL ProTranslates outside your document, so citations and tone are lost.~$8.74from, monthly
- QuillBot PremiumRewrites one paragraph at a time in a separate tab.$19.95monthly
- Grammarly ProFixes the sentence without naming the first-language habit behind it.~$12per month, billed yearly
- ChatGPT PlusRewrites in its own voice and can invent references.$20monthly
If you pay for all five~$81/ month
After: one Diglot document
- Drafting, autocomplete and citations
- Translation inside the document
- Rewrites in five tones
- Grammar that names your first-language habits
- Cowriter with 30+ skills, every edit waiting for you
- Your PDFs, your glossary and a free Authorship Certificate
Publicly listed prices: Jenni AI verified 2026-07-18; DeepL, QuillBot and Grammarly verified 2026-04-13; ChatGPT Plus as listed by OpenAI. Prices change, so check each vendor before you buy.
Try a skill on a real paragraph
Your draft
Many researches shows that students which use social media more than three hours per day have lower grades. In our opinion this is because the constant notifications make difficult to concentrate, so the information is not stay in the memory.
We propose to migrate our reporting to the new platform in Q1. This will reduce costs a lot and the team will be more productive, because the old system is very slow and nobody likes it.
We are very sorry for the delay, it was not our fault but the supplier one. We will try to send you the goods until Friday, please be patient with us and don’t cancel the order.
Cowriter /formalize · Fluent AI
Many studies show that students who use social media for more than three hours per day have lower grades. We believe this is because constant notifications make it difficult to concentrate, so information does not stay in memory.
Example output written for this page to show the difference between AI tiers; real results depend on your text. Fluent AI is on Free, Native AI on Pro.
Every citation leads back to a real page and a real DOI
Your paragraph
The Transformer replaced recurrence with attention alone , and pre-trained encoders such as BERT carried the idea to language understanding . Attention mechanisms first improved neural machine translation .
References
- Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A. N., Kaiser, Ł., & Polosukhin, I. (2017). Attention is all you need. arXiv. https://doi.org/10.48550/arXiv.1706.03762
- Devlin, J., Chang, M.-W., Lee, K., & Toutanova, K. (2019). BERT: Pre-training of deep bidirectional transformers for language understanding. Proceedings of NAACL-HLT. https://doi.org/10.18653/v1/N19-1423
Your library · p. 1, abstract
We propose a new simple network architecture, the Transformer, based solely on attention mechanisms, dispensing with recurrence and convolutions entirely.
DOI resolves · 10.48550/arXiv.1706.03762
Example built from real papers and DOIs. In the editor, /library answers from the PDFs you upload, /check-sources looks each DOI up, and /find-source suggests papers for an uncited claim.
The slips your first language puts in your English
Thank you for your comprehensionThank you for your understanding
“Comprensión” is a false friend: in English it is “understanding”.
Actually, we use the old systemCurrently, we use the old system
“Actualmente” means “currently”, not “actually”.
I assisted to the conferenceI attended the conference
“Asistir a” means to attend; “assist” means to help.
temperature of samplethe temperature of the sample
Your language has no articles; English needs “the” here.
We discussed about the resultsWe discussed the results
“Обсуждать” takes a preposition; “discuss” does not.
It depends of many factorsIt depends on many factors
A calque of “зависит от”: English uses “depend on”.
Joined Sony 2020I joined Sony in 2020
Your language drops the subject; English needs it.
Yesterday I go to the clientYesterday I went to the client
The verb does not change for tense in Mandarin; English marks the past.
Sorry to bother you, if possible maybe could you send itCould you send it?
Layered politeness reads as unsure in English business writing.
He is having two carsHe has two cars
“Have” for ownership does not take the -ing form.
I am agree with the planI agree with the plan
“Agree” is already a verb; it needs no “am”.
Please do the needfulPlease take care of it
Common in Indian English, unclear to readers elsewhere.
I work here since three yearsI have worked here for three years
“Seit / depuis” becomes “for” with the present perfect.
We have discussed it yesterdayWe discussed it yesterday
A finished time like “yesterday” takes the past simple.
We will eventually postpone the launchWe may postpone the launch
“Eventuell / éventuellement” means “possibly”, not “in the end”.
Typical slips for each language group. Diglot flags them in your own draft and explains the habit behind each one.
A signed record of how the document was written

The certificate PDF Diglot issues, filled with sample data. A real one carries a QR code and a live verification link.
- Session 1 · Outline and notes22 min
- Session 2 · Drafting, two languages, 4 citations48 min
- Session 3 · Cowriter /formalize and grammar review15 min
- Certificate exported with a verification linkfree
- Example timeline. Writing the whole document in Diglot is what gives the record its weight: a pasted paragraph shows up as a paste.
Feature-by-feature comparison
| Feature | Jenni AI | Diglot |
|---|---|---|
| Pre-submission reviewer-style feedback Jenni leads on polished peer-review UX today. | Yes — AI Peer Review with soundness/presentation/contribution scores | Composed from grammar + structure + readability checks (readiness report) |
| Feedback grounded in the writer’s first language | ✗ | Yes — glossed and register-aware for the writer’s L1 |
| Bilingual drafting (L1 → English in one editor) | ✗ | Native — the primary workflow |
| Cited autocomplete + citation styles | Strong — 10,000+ styles, cited autocomplete | 10,852 CSL styles + cited autocomplete |
| Authorship Certificate (proof you wrote it) | ✗ | Included on all plans |
| Vocabulary learn-back | ✗ | Yes — academic words you wrote return as review |
Pricing
One connected writing workspace instead of paying for 4 separate subscriptions.
QuillBot ($19.95) + DeepL ($8.74) + Grammarly ($12) + Jenni ($20) = $60.69 – $81 / mo
From $15.83 / mo Save 76% ($62/mo)
Jenni AI
Single-purpose utility- Free $0 10 autocompletes a day
- Plus from $12 / month, 5,000 autocompletes a month
- Pro from $29 / month, unlimited
- Pre-submission reviewer-style feedback Yes — AI Peer Review with soundness/presentation/contribution scores
- Feedback grounded in the writer’s first language — not included
- Bilingual drafting — not included
- Cited autocomplete + citation styles Strong — 10,000+ styles, cited autocomplete
- Authorship Certificate — not included
- Vocabulary learn-back — not included
Diglot
Complete Writing Workspace- Free$0 no card needed
- 500 words / day paraphrase
- 3,000 words / mo translation
- 10 Cowriter messages / day
- 1 Deep Research report / mo
- Authorship Certificate included
- Save 76% · Most PopularSpark$15.83 / mo, billed $190/yr $19 / month
- 30,000 words paraphrase & rewrite / mo
- 50,000 words translation · Smart AI
- 1,000 Cowriter msgs (35 skills)
- 5 Deep Research reports / mo
- 10,852 citation styles & PDF upload
- Native AI TierPro$28.33 / mo, billed $340/yr $34 / month
- Native-tier AI (publication quality)
- 50,000 words paraphrase / mo
- 100,000 words translation / mo
- 2,000 Cowriter msgs · cross-session recall
- 30 Deep Research reports / mo
Flexible on-demand word packs — no forced tier upgrades
Working on a thesis deadline or heavy paper submission? Add extra volume on demand without changing subscription tiers: +40,000 word packs ($15) and Deep Research packs are available anytime directly inside your workspace.
Pricing verified 2026-11-03. Public pricing changes — confirm on each vendor's site before purchase.
Where Jenni AI ends and Diglot begins
Academic writing workspace with cited autocomplete and an AI Peer Review that grades your draft the way a journal reviewer would.
Jenni AI has been around a while, and it’s good at what it does: autocomplete that suggests your next sentence with a real citation attached, inline references across 10,000+ styles, Chat-with-PDF, and the piece it’s best known for — an AI Peer Review that scores your manuscript on soundness, presentation, and contribution before a journal ever sees it. The pitch writes itself: catch the rejection early. Diglot won’t out-build Jenni on any of that. What Jenni can’t do is speak your language back to you — flag a Spanish writer’s sentence and it gets the same terse note a native writer gets, with no proof afterward that a person did the work.
What Jenni AI sells
- Cited AI autocomplete grounded in real papers
- One-click inline citations across 10,000+ styles
- Chat-with-PDF and paraphrase/simplify tools
- AI Peer Review — soundness, presentation, contribution scores with inline comments
- Manuscript-readiness reports mirroring journal reviewer rubrics
Why Jenni AI wins
- AI Peer Review is shipped and polished — Diglot has only the concept
- Citation breadth and cited autocomplete give strong academic credibility
- A sharp, high-anxiety job: catch what a reviewer would flag before rejection
- Established brand among students and researchers
Jenni AI wins when
- You write in English natively and want a quick pre-submission gut check
- Cited autocomplete and citation range matter to you more than anything else
- You’ve already built your workflow inside Jenni
Frequently asked questions
Is Diglot a Jenni AI alternative?
For non-native researchers, yes. Jenni’s AI Peer Review and cited autocomplete are great for a native writer who wants a fast readiness check. Diglot fits better if you need that feedback in a form you can act on — grounded in your first language — with proof of authorship attached. Jenni is ahead on citation range and the polish of its peer review; Diglot is ahead on the ESL workflow and the evidence that you did the writing.
Does Diglot have an AI peer review like Jenni?
Not in the same shape. Jenni ships a dedicated reviewer rubric that scores soundness, presentation, and contribution — that polished peer-review experience is its lead, and I won’t claim Diglot matches it. Diglot builds a readiness report out of grammar, structure, and readability checks. The difference: Diglot can gloss any of it into your native language, so you see why a passage reads weak instead of only that it does.
Why does the bilingual angle matter for peer-review feedback?
Because “this sentence is unclear” tells a Spanish speaker nothing about how to fix it. Diglot can add the reason — that “actually” was standing in for “currently,” or that a clause got ordered the Spanish way — so the note teaches instead of just scoring. Across a full manuscript, that is the difference between correcting the same habit forty times and stopping it after the third.
Does Jenni prove I wrote my paper?
No — Jenni offers no proof-of-authorship layer, which is striking for a tool built around AI writing. Diglot logs how your document came together into a signed, verifiable history, so if your work gets questioned you hold evidence of the process, not just the finished file. As suspicion of AI writing grows, that gap is worth weighing.
Is Diglot cheaper than Jenni?
Jenni Plus starts at $12/mo with 5,000 autocompletes a month, and unlimited use starts at $29/mo on Pro. Diglot Spark is $19/mo and Pro is $34/mo ($28.33/mo billed yearly). The price buys the bilingual editor, first-language grounding and scholarly search across nine indexes, not autocomplete on its own. The Authorship Certificate is free on every plan, including Free.
Sound like you? Try Diglot free.
If «a reviewer-style flag means little to you until someone explains the why» describes your work, the free tier covers daily writing — no card.
No credit card required
Where to go next
Jenni AI is one tool against Diglot. The picks below frame the decision against similar tools, your real workflow, and the broader category.