media2md 0.9.2

Agent-ready Instagram, YouTube, and TikTok media-to-Markdown pipeline.

Media2MD

Media2MD is a local-first command-line tool for downloading supported media from Instagram, YouTube, and TikTok, transcribing speech locally, and turning the results into structured Markdown.

It is designed for both direct human use in the terminal and agent-driven workflows that need stable commands, schedulable operations, and machine-readable output. Media2MD can reuse a browser session you already authenticated locally, but it does not enter passwords, bypass 2FA, solve CAPTCHAs, or defeat platform challenges.

The CLI currently supports English, Japanese, and Chinese locale presets. In code, the supported locale values are en, ja, zh-TW, and zh-CN.

Why Media2MD

• One CLI for Instagram, YouTube, and TikTok intake
• Local runtime with managed state and repeatable command workflows
• Markdown output that is easy to archive, search, or hand to agents
• Browser-profile-based auth reuse without storing credentials in the package
• Queue, creator sync, processing, runtime, and health-check commands in one tool
• Human-friendly CLI flows plus stable surfaces for automation and agent orchestration

What It Helps With

Media2MD is aimed at a very practical problem: keeping up with creator output without having to manually watch, sort, and summarize every update yourself.

It is especially useful when you want to:

• track specific creators over time instead of checking them manually
• let an agent run scheduled collection and follow-up workflows
• turn media output into Markdown that can later be organized into a wiki or knowledge base
• process content locally on your own machine instead of relying on a hosted external service

The automation surface is designed for agent use, and current agent-oriented scheduling and adaptation work is primarily aligned with OpenClaw-based workflows.

Core Capabilities

• Track creators and sync their catalogs across supported providers
• Run batch processing with configurable limits and per-type batch sizing
• Prefer one long YouTube video per batch when long-form processing should stay isolated
• Reuse local browser-backed auth for provider access where supported
• Generate Markdown artifacts that are easier for agents to summarize, tag, transform, or import into a knowledge base
• Run health checks, access diagnostics, backup, and verification from the CLI
• Operate entirely on local machine resources for download, processing, and transcription workflows

Install

Install from PyPI:

pip install media2md

Install provider extras when needed:

pip install "media2md[instagram]"
pip install "media2md[youtube]"
pip install "media2md[tiktok]"
pip install "media2md[all]"

Check the installed version:

media2md version

Quick Start

Initialize the managed runtime:

media2md init --language <language> --markdown-language <markdown-language> --timezone <timezone> --non-interactive

Examples:

media2md init --language ja --markdown-language ja --timezone Asia/Tokyo --non-interactive
media2md init --language zh-TW --markdown-language zh-TW --timezone Asia/Taipei --non-interactive
media2md init --language en --markdown-language en --timezone <timezone> --non-interactive

Run a health check:

media2md doctor all

Inspect the runtime location:

media2md runtime status
media2md runtime path

Tutorial

If this is your first run, a practical sequence looks like this:

1. Install the package and the provider extras you need.
2. Initialize the managed runtime with your preferred language and timezone.
3. Connect and verify browser-backed auth for the provider you want to use.
4. Add a creator or inspect a single media URL.
5. Sync the creator catalog or process a single item immediately.
6. Check status, generated Markdown, and health diagnostics.

A minimal setup might look like:

pip install "media2md[<provider-extra>]"
media2md init --language <language> --markdown-language <markdown-language> --timezone <timezone> --non-interactive
media2md auth profiles youtube --browser chrome
media2md auth connect youtube --browser chrome --profile Default
media2md auth verify youtube
media2md creator add https://www.youtube.com/@creator-name --provider youtube
media2md creator sync @creator-name --provider youtube --force-full
media2md creator run @creator-name --provider youtube

Language-specific initialization examples:

media2md init --language ja --markdown-language ja --timezone Asia/Tokyo --non-interactive
media2md init --language zh-TW --markdown-language zh-TW --timezone Asia/Taipei --non-interactive
media2md init --language en --markdown-language en --timezone <timezone> --non-interactive

Authentication

Media2MD reads cookies from a local browser profile that you explicitly choose.

Typical flow:

media2md auth profiles youtube --browser chrome
media2md auth connect youtube --browser chrome --profile Default
media2md auth verify youtube

Instagram example:

media2md auth profiles instagram --browser chrome
media2md auth connect instagram --browser chrome --profile Default
media2md auth verify instagram

TikTok example:

media2md auth profiles tiktok --browser chrome
media2md auth connect tiktok --browser chrome --profile Default
media2md auth verify tiktok

The same profiles, connect, and verify flow is available for all supported providers.

Provider Support

Media2MD currently focuses on:

• Instagram creator and media workflows
• YouTube channel, video, and Shorts workflows
• TikTok creator and media workflows

The project is CLI-first and optimized for local execution on a machine that already has access to the browser profiles you want to reuse.

Common Workflows

Add a creator and run a full sync:

media2md creator add https://www.youtube.com/@creator-name --provider youtube
media2md creator sync @creator-name --provider youtube --force-full
media2md creator status --provider youtube --creator @creator-name

Process a single media URL:

media2md media add <media-url> --process-now

Run queue or creator processing:

media2md creator run @creator-name --provider youtube
media2md status --output ndjson

Import an existing legacy project into the managed runtime:

media2md runtime import --from-project <legacy-project-path>

Inspect a URL before adding it:

media2md media inspect <media-url>

List tracked media:

media2md media list --provider tiktok

Creator inputs can be either full creator URLs or provider-qualified handles. For bare handles such as @creator-name or creator-name, pass --provider explicitly so the CLI knows which platform to target.

Run a deeper environment and access check:

media2md doctor all
media2md doctor youtube-access --video-id <video-id> --transcription-smoke-test
media2md doctor tiktok-access --video-id <video-id> --creator <creator>

Create and verify a state backup:

media2md data backup --destination ~/media2md-backups
media2md data verify-backup ~/media2md-backups/media2md-state-YYYYMMDDTHHMMSSZ.zip

Output

Generated output is organized under the local runtime state. Typical Markdown paths look like:

markdown/youtube/<creator>/videos/
markdown/youtube/<creator>/shorts/
markdown/instagram/<creator>/
markdown/tiktok/<creator>/

Runtime Model

Media2MD installs a managed runtime for the current package version and keeps state separately from code. That makes upgrades and runtime recovery more predictable than mixing scripts and user data in one folder.

Useful commands:

media2md runtime status
media2md runtime install --force
media2md doctor all

CLI Areas

The CLI is organized around a few main areas:

• auth: browser profile discovery, connection, verification, refresh, and status
• creator: add creators, sync catalogs, inspect status, set policies, and run processing
• media: inspect URLs, add media, process registered items, and list tracked entries
• doctor: environment, provider, and access diagnostics
• data: backup, backup verification, and destructive data operations
• runtime: managed runtime install, import, and path/status helpers
• scheduler: scheduled processing entrypoints
• update: package update and rollback helpers

For machine-readable integrations, many commands support --output ndjson.

Example Commands

Check system-wide status:

media2md status
media2md status --output ndjson

Show or change settings:

media2md settings show
media2md settings set --instagram-backend auto --youtube-caption-first --update-check-on-use

Set creator policy:

media2md creator policy set <creator> --provider <provider> \
  --batch-size-type <type-a>=<limit-a> \
  --batch-size-type <type-b>=<limit-b> \
  --batch-size-type <type-c>=<limit-c> \
  --scheduled-processing

Run the scheduler tick manually:

media2md scheduler tick --non-interactive --output ndjson

See the full command reference in docs/CLI_REFERENCE.md.

Typical Use Cases

Media2MD is a good fit when you want to:

• archive creator output into Markdown on your own machine
• build a personal or team knowledge base from social/video content
• inspect or process specific URLs without building your own scraping pipeline
• feed normalized Markdown artifacts into downstream agent or search workflows

It is a weaker fit when you need:

• a hosted SaaS workflow
• remote browser automation for account login
• bypasses for provider auth or challenge mechanisms
• a fully managed cloud ingestion service

What It Does Not Do

Media2MD does not:

• type passwords for you
• bypass 2FA, CAPTCHA, or account challenges
• turn private platform access into public access
• remove the need to follow platform terms, copyright rules, privacy rules, or local law

Notes

• Some providers require their corresponding extra dependencies.
• Browser-backed auth works best when the target session is already healthy in the browser.
• The managed runtime separates code from state to make local upgrades and recovery easier.
• The package is published on PyPI, but your actual media processing happens locally.

Project Status

Current published version: 0.9.2

Recent release themes in 0.9.x include:

• stronger TikTok transport and metadata fallback handling
• more truthful health and degraded-ready reporting
• safer backup and runtime integrity behavior
• tighter regression coverage for acceptance-derived failures

See the Changelog for version-by-version details.

Contributing

See CONTRIBUTING.md.

Links

• Repository: danielcanfly/media2md
• PyPI: media2md
• Issues: GitHub Issues
• Changelog: CHANGELOG.md

Responsible Use

Only download content you own, are authorized to process, or may lawfully archive. Platform terms, copyright, privacy, and local laws still apply.