Mdtero Mdtero

AI research pre-processing workflow

Turn one paper into a structured research package your next step can actually use

Mdtero turns supported papers into auditable Markdown, translated reading copies, figures, and reusable bundles for agent-first research work.

Start in the browser, then hand the structured package to your next agent step.

One instruction, then keep going

Install Mdtero for me, use my Mdtero API key, keep Elsevier acquisition local when required, and confirm parse plus translation are ready.

01

Markdown Clean structure for reading and prompting

02

Figures Downloaded and linked for reuse

03

Translation Aligned with the same paper structure

04

Bundle Ready for your next agent step

Start from the browser extension or your agent

Mdtero has two primary entry modes: capture while reading, or continue inside an agent workflow.

Extension

Browser Extension

Capture supported paper pages into a clean research package without leaving the browser.

Open Edge listing
Agent

Agent Handoff

Send one install instruction, then continue directly into translation, comparison, or review drafting.

Log in

From discovery to literature work in four steps

1

Capture the paper you actually want

Start from a DOI, a supported paper page, arXiv, or a local retrieval helper and keep the acquisition path explicit.

2

Parse into a structured research package

Get Markdown, figures, downloadable artifacts, and machine-usable task results instead of a fragile one-off scrape.

3

Translate, organize, and preserve evidence

Use translation only when needed, while keeping the package auditable and ready for downstream review or synthesis.

4

Hand it off to your next agent step

Move straight into summarization, review drafting, weekly discovery loops, or your own research automation.

Three research pain points the current product already solves

Mdtero should feel like an entry point into AI research work, not just a parser. These examples map directly onto the current product surfaces.

Pair Semantic Scholar discovery with a reproducible capture loop

Use Semantic Scholar to surface new papers, then feed the shortlisted links into Mdtero so each candidate becomes a consistent package for screening and note taking.

Every Friday, collect this week's promising papers from Semantic Scholar, send the selected links through Mdtero, and return a shortlist with package links and one-line relevance notes.

Translate a paper without losing its research structure

Instead of pasting a raw PDF into a chat, start from the Markdown package and produce a cleaner translation that still preserves figures, sections, and references.

Take this Mdtero package, translate the paper into Chinese, keep the section structure, and flag any equations, figures, or ambiguous terminology that need manual review.

Draft a literature review from evidence-preserving packages

Once a set of papers is normalized into the same package format, your agent can compare claims, extract methods, and draft a review without fighting format drift.

Compare these Mdtero packages, group them by method and evidence type, then draft a literature review outline with citations back to each paper package.

Simple pricing for research reading, translation, and review work

Free

Start with the core workflow.

  • 30 parses / mo
  • 3 translations / mo
  • Source file downloads

$3.9 / month

Default for most researchers who want the best value month to month.

  • 120 parses / mo
  • 30 translations / mo
  • Priority processing

$7.9 / month

More room for heavier review, comparison, and synthesis work.

  • 300 parses / mo
  • 100 translations / mo
  • Priority processing

$2 / pack

Add this when you only need more translations without changing plans.

  • 20 translations / pack
  • Translation only
  • Best for topping up after plan quota

API pay-as-you-go stays available for flexible product and automation use, but plans remain the default path for most researchers.