Price terms as published
Each line is the vendor’s own wording, split from the price capture checked on 2026-09-28. Nothing here is rounded, converted or re-worded — the full sentences stay in the review below. Lines that carry only a price continue the plan named on the line above, in the vendor’s own order.
| # | Plan / term | Checked |
|---|---|---|
| 1 | Free (MIT, self-hosted) | 2026-09-28 |
| 2 | bring your own LLM key — Edge TTS and Pexels/Pixabay stock are free, render costs are your machine | 2026-09-28 |
One-liner: MoneyPrinterTurbo is an open-source (MIT) Python workflow that turns a topic, keyword, or your own finished script into a rendered short video: a configured LLM writes or refines the narration, the pipeline derives search terms and pulls HD stock footage (Pexels / Pixabay / Coverr) or your own uploaded clips, a TTS voice reads the script (Edge TTS is free and needs no key), subtitles and background music are layered, and MoviePy/FFmpeg render a 9:16, 16:9, or 1:1 video you can publish straight to TikTok, Instagram, and YouTube Shorts. Drive it through an AI agent, the WebUI, the REST API, or the CLI.
Verified facts (GitHub API + raw README + release feed, 2026-09-28)
| Attribute | Value | Source |
|---|---|---|
| GitHub stars | 126,516 (19,751 forks) | harry0703/MoneyPrinterTurbo via GitHub API, 2026-09-28 |
| Open issues vs PRs | API combined 73 — same-day search-API split: 13 open issues + 60 open PRs (813 issues total ever) | GitHub API + search API |
| License | MIT | GitHub API license field |
| Language / stack | Python 3.11+; Streamlit WebUI; REST API + CLI; MoviePy/FFmpeg render | README badges + Verdent guide + third-party review |
| Created / last push | 2024-03-11 / 2026-09-28 (day of this check) | GitHub API |
| Release cadence | v1.3.7 (2026-09-13), v1.3.6 (2026-09-02), v1.3.5 (2026-08-22) — roughly monthly | GitHub Releases API |
| Pipeline stages | Topic/script → LLM script + search plan → stock/local footage → TTS voiceover → subtitles → BGM → render → optional publish | README features + Wavect review walkthrough |
| Footage sources | Upload your own images/videos; free HD stock from Pexels, Pixabay, Coverr; AI-generated 768P/2K clips via integrated providers (MiniMax H3, Seedance, Wan et al.) | README “Video and Image Footage” |
| Voice options | Edge TTS (free, no API key), Azure Speech, Gemini, MiniMax, ElevenLabs, Chatterbox, Kokoro, Fish Audio, VoxCPM and more | README voiceover section |
| Script LLM connectivity | Direct OpenAI-compatible endpoints plus gateways (OpenRouter, LiteLLM, Groq, Ollama local, Claude Code subscription, ModelScope…) | README script/providers list |
| Output formats | 9:16 (1080×1920), 16:9 (1920×1080), 1:1 (1080×1080) | README output section |
| Publishing | Direct upload to TikTok, Instagram, YouTube Shorts from the tool | README “Output and Publishing” |
| Batch workflow | Multiple output variants per run, task history, import/export of settings and keys | README “Creation Workflows” |
| Hosted option | No official hosted product; README links third-party web front-ends (e.g. moneyprinterturbo.app, RecCloud) — treat as separate services | README sponsor links (disclosed below) |
| Cost | Code free; you pay only the model/TTS/media APIs you bring (or nothing beyond your machine if Edge TTS + stock + local render) | README + verified provider docs |
What it is actually good at (and what the tests keep finding)
The pipeline’s real strength is volume assembly with a human in the loop at every stage: you can supply a finished script, pin the search terms, swap clips, preview narration before render, and batch variants. Wavect’s 2026 review puts the honest frame: “a legitimate, actively maintained open-source AI video workflow, not a free money button” — the LLM, voice services, media APIs, compute, and channel risk “do not disappear.”
The consistent finding from independent testers (including a widely shared Reddit hands-on of an earlier 85k-star build) is the quality ceiling of the stock-footage mode: the LLM extracts a handful of global keywords, so footage matching is topic-adjacent rather than scene-accurate, and default narration tends toward filler. If your videos need shot-level control or original visuals, you either pay for the AI-generated footage integrations or upload your own clips — the tool fully supports both, which is the design answer to the criticism.
Read the README’s sponsor wall as what it is
The top of the README carries paid placements from LLM/video API resellers (Kimi, Volcengine, APIMart, Metaso, and several others, all with affiliate links), plus a promo for the same maintainer’s unrelated disk-cleaner app. None of it affects the MIT code path — you can point the config at any OpenAI-compatible endpoint, including a free local Ollama — but you should know the project’s hosting is partly sponsor-funded before taking any “recommended provider” claim at face value.
MoneyPrinterTurbo vs the BYOK video-agent crowd
Where Hypit (17.1k stars, checked 2026-09-28) starts from an existing video and clones it into an editable SVML project, MoneyPrinterTurbo starts from a topic and assembles a video from stock/AI footage — opposite ends of the same production line. Full comparison: MoneyPrinterTurbo vs Hypit.
Who should run this
- Faceless-channel operators batching the same format daily, who want the pipeline on their own machine with their own keys.
- Creators who already have scripts and voice, and want footage-matching + subtitles + render automated.
- Developers who want a working reference implementation of a topic-to-video agent pipeline (the code is readable Python, not a black box).
Skip it if you need per-scene visual control from text alone (that is script-to-storyboard territory, e.g. OpenStory) or if you want a zero-setup hosted studio (this is self-hosted by design).
Sources
- GitHub API: stars/forks/license/created/pushed — 2026-09-28
- GitHub search API: 13 open issues / 60 open PRs / 813 issues ever — 2026-09-28
- GitHub Releases API: v1.3.7 2026-09-13, v1.3.6 2026-09-02, v1.3.5 2026-08-22 — 2026-09-28
- Raw README (English + Chinese), fetched 2026-09-28
- Wavect, “MoneyPrinterTurbo Review 2026: Costs & Setup” — third-party
- Verdent, “MoneyPrinterTurbo GitHub: Builder Guide” — third-party (MoviePy/Streamlit architecture confirmation)
- r/ArtificialInteligence hands-on thread (85k-star era) — third-party quality criticism