From results to submitted paper in days, not weeks.

Docable is the writing environment where your draft is the final paper. Figures render from your data, citations verify themselves, and venue formatting is a switch — not a rewrite.

Docable — Non-Invasive CGM
The Docable editor: a plain-text draft on the left and a live IEEE two-column typeset preview on the right, with verified citations and a rendered figure.
1 draft

The version you write is the version you submit. No parallel “formatted copy” to keep in sync.

0 formatting passes

Styling is a venue layer you switch, not a week you lose at the end of every project.

100% verified citations

Nothing enters your bibliography unchecked — every reference resolves to a real, indexed paper.

Built for computational research

Your data, your figures — in one document.

Open a dataset and a Jupyter-style notebook slides in beside your paper. Use AI to write Python, generate the plot, and drop it straight into the manuscript — where it stays linked to the data.

No exporting PNGs from a separate notebook. No stale figures three revisions out of date. The analysis and the writing live together.

Docable — sample_timecourse_3d
DataNotebook90 rows · 5 columns
#grouptimepoint_hdose_mgmeasurementreplicate
1control005.01
2control005.12
3control605.21
4control1205.11
5control2405.01
6treated0105.051
7treated6105.671
8treated12105.771
9treated24105.851
Notebook
Run allSave
Text
Dose–response surface
A 3D view of measurement across dose and timepoint.
Python
Run
piv = df.pivot_table(index='dose_mg', columns='timepoint_h',
values='measurement', aggfunc='mean')
surf = ax.plot_surface(X, Y, Z, cmap='viridis')
measurement
→ inserted as a figure, linked to sample_timecourse_3d

Everything between results and submission.

Built for the write-up window — the two weeks where formatting, figures, and references eat your research time.

One draft, any venue

Formatting is a style layer, not your job. Switch the target venue and the same draft re-typesets — columns, margins, references, all of it. Rejected from a conference? Retarget to a journal in one click, without touching a word of the manuscript.

IEEE Trans. Neural Netw.1
Attention Bottlenecks in Long-Context Sequence Models
A. Dash, R. Iyer, S. Venkatesan
Abstract
1  Introduction
2  Method
Fig. 1: Effective context utilisation vs. sequence length.

Citations that verify themselves

Type /cite and search 250M+ papers on OpenAlex without leaving the sentence. The bibliography writes itself in the venue’s style.

Clinical Targets for Continuous Glucose Monitoring
Battelino et al. · 2019
✓ Verified

Co-author without the merge conflicts

Write together in real time. No emailing v7-final-FINAL.tex, no clobbering a co-author’s edits, no context lost between drafts.

ADRISV
3 authors · editing now

AI that knows your paper

Not a generic chatbot. Docable’s assistant sees your figures, your data, and your verified references — so its suggestions fit the manuscript you’re actually writing.

“Tighten the abstract and cite the figure showing MARD.”

Camera-ready, always

A live preview shows real typeset pages as you write. Export LaTeX or a submission PDF that matches exactly what you saw — nothing to install.

Live paged preview.tex.pdf

Three steps to submission.

01

Write it plainly

Type your findings like a document, not a codebase. Drop in data for figures, /cite as you go.

02

Point it at a venue

Pick the target — conference, journal, or preprint. The draft re-typesets live, columns and all.

03

Export and submit

Download LaTeX or a camera-ready PDF identical to the preview. Rejection? Retarget, don’t rewrite.

Spend the write-up window writing.

Early access is rolling out to computational researchers now.

Running a lab or a team? Talk to us about a pilot →