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Zıpır

Turns an uploaded PDF, Word, Markdown or text document into a narrated Turkish video lesson where each sentence is quoted from the source.

Actively maintained

Zıpır: data, price, alternatives
At a glancechecked Oct 31, 2026

not read yet

Use

For
Trainers, teachers and corporate educators who turn existing documents into narrated Turkish video lessons.
Activity
Actively maintainedsite updated yesterday
Company
since 2026per their site
Used for
  • turn a PDF or Word document into a Turkish subtitled video lesson
  • review and correct single frames of a generated video
  • package lessons as SCORM 1.2 for an LMS
Worth knowingcomputed from what we read · each with its source
The companyeach fact with its source · read Oct 31, 2026
How a program reaches itfound, not claimed · read Oct 31, 2026
  • MCP servercom.zipirapp/zipirverified in the MCP registry
  • Stateanswers, requires sign-inchecked 2026-10-31
  • Address to connectapi.zipirapp.com/mcp
  • OpenAPI spec6 pathsthe spec ↗
  • API docszipirapp.com/apithe vendor's page ↗

MCP server details →

This card as JSON, for your agent →

Each line is something a program found when it went looking: the registry entry, the server's own answer, a spec that parses. A missing line means we did not find it, not that it does not exist.

Alternatives in Knowledgeby use, among tools still maintained

Figure and bar: visits/mo, estimate · year: online since

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Questions this page answers
  • What is Zıpır?

    Turns an uploaded PDF, Word, Markdown or text document into a narrated Turkish video lesson where each sentence is quoted from the source. It is listed in the Atlas under Knowledge.

  • Who is Zıpır for?

    Trainers, teachers and corporate educators who turn existing documents into narrated Turkish video lessons.

  • Is Zıpır still maintained?

    Actively maintained: site updated yesterday.

  • What are alternatives to Zıpır?

    In Knowledge, by use: NoteGPT, Chat2Mind, inktomd, Lynote, Gemini Notebook.

How we read a tool

No votes, no reviews, no vendor claims. Every week a crawler reads each tool's own site and a few public registries, and the words on the card are bands over what it read.

  • Use: visits to the site (estimated), installs from npm and PyPI, presence in Chrome's usage report.
  • Activity: the newest release on GitHub, npm or PyPI; the newest dated page on the site; open roles on a public jobs board.
  • Price: the vendor's own pricing page, read with the date. A figure is printed only when it is on that page.
  • The line and the use cases are written by us from the homepage, one tool at a time, and refused when they repeat the vendor's marketing.

How AI assistants read each site — the reading vendors ask us about — is on each tool's own visibility page.

How we read every tool → · By INITE Atlas Desk