StreamStash automatically records TikTok, Twitch and Kick live streams and keeps creator content from supported sources in one local library. Runs on Windows today, with macOS, Linux, and Docker planned. No cloud required. Your library never leaves your machine.
Free tier, no card needed · 14-day refund on paid tiers
PC off when they go live? StreamStash Cloud records it for you
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“An invaluable tool for researchers and archivists alike.”
Figures from our in-house test library, October 2026.
You're tracking a roster of creators across multiple platforms. You want every Live captured, every post deduplicated, and the whole thing searchable, without writing a single Python script.
You need durable, timestamped copies of public posts and bios for citation and review, with change history when profiles edit themselves. Local archive, no cloud library, no in-app telemetry.
Add a creator, record their lives, link their accounts across platforms and find anything later.
Shows the Power tier, in our demo library with made-up creators.
Tip: turn your phone sideways and go full screen to read the captions.
Add a TikTok creator, or a Twitch or Kick channel, as a monitor. StreamStash detects when it goes live and starts recording before most viewers have even joined. When the stream ends, the file is closed, indexed, and added to your library.
PC off when they go live? StreamStash Cloud records a creator's TikTok lives on our servers, in original quality, with the chat and gifts replayed in sync on Cloud Plus and Pro. Nothing to install. Free plan, no card.
See StreamStash CloudPaste a supported Quick Download link and StreamStash pulls it straight into your library, with no monitoring or schedule. TikTok saves are watermark-free, YouTube can grab single videos, playlists, Community posts or MP3 audio, Twitch/Kick can save individual VODs or clips, a Reddit post comes down whole with its sound, and Web Media can grab a single album, video page or host link.
StreamStash detects when the same creator runs accounts on multiple platforms by parsing bio text, in-bio URLs, and username similarity. Link them with one click and cross-platform dedup kicks in: when a creator cross-posts the same clip from TikTok to Instagram, StreamStash recognises the duplicate and skips it.
Perceptual hashing catches reposts even when filenames and timestamps differ, so one canonical copy is kept and every source is preserved in the metadata. And when a better version turns up, a sharper copy or one that still has its audio, StreamStash keeps the better one and quietly upgrades your library instead of holding on to whatever landed first. Every replaced copy is held in a Replaced Copies list you can restore from, for a window you choose (seven days by default) before it is cleared, so there is time to undo a swap you disagree with.
"Wearing a red dress." "At the beach." "Holding a coffee cup." StreamStash extracts keyframes from every video in your library and runs them through a local visual model. You get ranked matches in well under a second.
AI search runs on your machine. No API keys, no upload, no third-party service in the chain. The first index of a large library takes a while, since it runs in the background on your CPU. After that, queries are quick.
Smart Scheduling classifies every feed as Active, Quiet, Dormant, or Dead from real posting cadence, then auto-tunes scan intervals as your library grows. Active creators stay fresh while low-signal feeds absorb the waiting.
When you paste a TikTok URL or username, StreamStash checks the bio, the in-bio aggregator links (linktr.ee, beacons.ai, allmylinks, lnk.bio), display-name overlap, and the avatar against every creator already in your library. If it spots a match, the group picker suggests a group with a confidence score and tells you why , "@sarah's bio links here", "Same display name as @sarah", or a hash match on the avatar.
Rich group cards show member avatars, platform glyphs, and recent media thumbnails so near-identical groups stay visually distinct. Add and link in one click , cross-platform dedup kicks in immediately. Wrong match? Cancel and the creator is added solo, no link created.
Every bio change is captured with a diff. Every follower count, following count, and avatar revision is logged on the day it happens. Hover any data point to see the snapshot in context.
Useful for context when a creator pivots, goes private, or rebrands. Available on Personal and Power tiers.
The screenshots below are the same UI you'll get when you install. No bespoke landing-page renders.
It started because my downloads folder was a disaster. I had one tool for TikTok, another for Instagram, a Python script someone wrote for Twitter, and a couple of janky things for forums. Half of them saved files into their own folders with their own naming, and none of them knew the others existed. So when a creator posted the same clip across three platforms, I'd end up with three copies of it, scattered, and no way to actually search anything I'd already grabbed.
I started messing with it about a year ago, just for me. The deduplication came first, because that was the thing that drove me genuinely mad. Then the dashboard, because I wanted to actually see what I had instead of digging through folders. Then everything else.
My own library is still the test bed. It's past 260,000 TikToks and 5,800 hours of recorded lives now, and it's what I test everything on. A lot of the bugs I've fixed only showed up once it got that big, which is exactly why it's useful.
What started as a personal project has grown into something I genuinely think holds up for other people, which is why it's here instead of just sitting on my drive. I'm always open to ideas and changes if there's something that'd make it work better for you.
One thing I get asked a lot: why isn't this open source? Publicly documenting how the data gets pulled would make it trivial for the platforms to patch the methods. Keeping that side closed is what keeps the tool actually working.
If you try it and something annoys you or breaks, the Discord is the fastest place to reach me. I'm usually around.
Paid tiers are a single charge. No subscription, no upsells, no features pulled out from under you later.
| Feature | Free | Personal | Power |
|---|---|---|---|
| Platforms & limits | |||
| Platforms | TikTok, YouTube, X, Twitch + Reddit posts by link | + Instagram, Threads, Telegram, Kick | + Reddit feeds, Snapchat, VSCO, Patreon, Fanfix, Vinted & Depop, Forums, Web media, Discord archives |
| Feeds (combined) | 5 | 15 | Unlimited |
| Live monitors | 2 | 5 | Unlimited |
| Downloads & quality | |||
| YouTube monitored channels | 1080p | 1080p | 4K |
| YouTube Quick Download | 1080p | 4K | 4K |
| Reddit Quick Download (with audio) | ✓ | ✓ | ✓ |
| Added with Personal | |||
| Bio tracking & history | × | ✓ | ✓ |
| Discord webhooks | × | ✓ | ✓ |
| Update timing | 30-day delay | Same-day | Same-day |
| Added with Power | |||
| AI semantic search | × | × | ✓ |
| HD downloads on monitored TikTok feeds | × | × | ✓ |
| Save TikTok comments | × | × | ✓ |
| Twitch & Kick supporters on recordings (bits, subs, raids, Kicks) | × | × | ✓ |
| Archive X messages and encrypted chats | × | × | ✓ |
| Auto-clip highlights from TikTok, Twitch and Kick live recordings and supported VODs | × | × | ✓ |
| Live chat capture during a recording on TikTok, Twitch and Kick (saved VOD chat replay is free) | × | × | ✓ |
| Cross-platform dedup | × | × | ✓ |
| Identity matching | × | × | ✓ |
| Advanced dashboard | × | × | ✓ |
| Priority support | × | × | ✓ |
| Every tier includes Quick Download, library & playback, hardware-accelerated compression, engagement analytics, storage dashboard, and remote access. | |||
One-time payment. · Lifetime updates. · 14-day no-questions-asked refund.
StreamStash supports TikTok, YouTube, Twitch, Kick, Instagram, Threads, VSCO, Twitter/X, Telegram, Reddit, Snapchat, Patreon, Fanfix and other creator-subscription sites, Vinted and Depop sellers, forums, web media, and browser-assisted Discord archives. Free covers TikTok, YouTube, Twitter/X, and Twitch, plus saving single Reddit posts by pasting a link. Personal adds Instagram, Threads, Telegram, and Kick. Power unlocks every supported source category.
Most Windows 10 or 11 machines from the last six or seven years will run StreamStash comfortably. The minimum is a 4-core CPU, 8 GB RAM, and any GPU (the app falls back to CPU encoding if no hardware encoder is detected). For 24/7 monitoring and recording across many platforms we recommend 16 GB RAM and an NVIDIA card with NVENC for compression.
Full minimum and recommended specs, plus notes on Firefox cookies, GPU encoders, and storage planning, are on the system requirements page.
For the desktop app, yes: it records on your machine, so the machine has to be on when the stream happens. Most heavy users run it on a PC that stays on anyway.
If that is not you, StreamStash Cloud is a separate hosted product that records a creator's TikTok lives on our servers while your computer is off, in original quality, with the chat and gifts replayed in sync on Cloud Plus and Pro. It has a free plan with no card, and it is priced monthly because the recording and storage happen on our side. The desktop app stays a one-time purchase.
Almost always disk speed. StreamStash reads its database constantly, which is fastest on an SSD. By default that database sits on your system drive, usually your quickest disk, so most setups are fine. Pages can feel sluggish to open, especially the first time you visit one, if the database or your library lives on a mechanical (HDD) drive, and more so when it's the same drive that's busy downloading, since reading and writing then compete for it. Keeping the app's data on an SSD is the snappiest setup; the large recording archive itself is perfectly happy on a bigger HDD.
A busy PC plays a part too: a lot of simultaneous downloads or recordings, or several other heavy apps open at once, share the disk and CPU while it lasts. None of it is a bug. It's ordinary disk or CPU pressure, and it clears as the load does. The system requirements page goes into more detail.
Yes, on every tier from v1.7. Each monitored feed on a supported analytics source gets a dedicated analytics page with top performers, engagement volume over time, engagement quality, a posting-cadence heatmap, and per-post history. Free covers TikTok, YouTube, X and Twitch analytics. Personal adds Instagram, Threads, Telegram and Kick where public counts are available. Power adds Reddit and the creator-subscription sites. Snapchat, forums, web media and Discord archives sit out where comparable per-item engagement counts are not exposed.
Yes. Add a TikTok creator, Twitch channel, or Kick channel as a monitor and StreamStash detects when it goes live, then starts recording automatically. Streams are captured at the highest quality the platform serves, with live preview thumbnails and hardware-accelerated NVENC compression where available. Twitch ad breaks are marked so the player skips them; Kick recordings are ad-free.
No tool can guarantee against platform action, but StreamStash is built around making sure that doesn't happen. It uses your existing browser session instead of a stored password, randomizes its check schedule, respects per-platform rate budgets, and pauses itself when an endpoint starts returning 429s. The defaults are conservative on purpose.
Discord is handled even more deliberately: it is a manual bookmarklet import, not a background bot or continuous polling loop. You choose when to capture a channel or DM, and StreamStash only imports the history your browser session has already loaded.
For Instagram and Twitter/X specifically, where moderation is strictest, we recommend a dedicated archival account if you're tracking many creators or pulling at high volume. Treat it as a safety net, not a hard requirement.
Yes. StreamStash runs a Flask server on your local machine, with pywebview wrapping it so it feels like a native Windows desktop app. The library is a single SQLite file on a path you choose, plus your media folders alongside it. There is no cloud component, no in-app telemetry, no account to create. The only calls home are a licence check at startup on paid tiers and a periodic update check; nothing about your usage is sent.
Yes, on the Power tier. Type "wearing a red dress at the beach" and you get ranked thumbnails in well under a second. The model runs locally on your machine. No API keys, no upload, no third-party service in the chain.
Firefox stores cookies as a plain SQLite file that StreamStash can read in milliseconds. Chrome and other Chromium browsers encrypt their cookies in a way StreamStash cannot read, even when the browser is fully closed. The result: you appear logged in, but the app reads zero cookies.
So cookies and logins are read from Firefox only. Sign in to the sites you need in Firefox, then use Settings → Cookies → Check All in StreamStash to confirm they are picked up.
StreamStash is a tool for personal archival and research purposes. You're responsible for complying with the terms of service of any platform you use it with. StreamStash does not host, distribute, or store third-party content; it runs on your hardware.
StreamStash is not for: harassment or doxxing of individuals, redistributing content as your own, or downloading illegal material.
14 days, no questions asked. Email support@streamstash.live with your order ID and the refund hits your card within 3 working days.
Yes, in that order. macOS first, since the codebase is Python and a chunk of the platform-specific work is already done. Linux native after that. Docker images for Synology, QNAP, and Unraid follow Linux. There is no fixed timeline. If you buy now, the upgrade path is included.
It happens. TikTok rotates its API, Instagram changes its session handshake, X mutates its endpoints. When something breaks, the affected platform's monitor shows a status flag in the dashboard and a fix ships in the next update (usually within a few days). The other platforms keep running normally. This is a real reason the source isn't open: publishing exactly how the data is fetched would make these patches cheaper for the platforms to ship.
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