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features
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support

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Description

StreamStash is a self-hosted Windows desktop app that archives social media to your own drives. Point it at the creators you follow across 13 platforms (TikTok, X/Twitter, YouTube, Twitch, Kick, Instagram, Threads, Telegram, Reddit, Snapchat Spotlight, XenForo forums, web album hosts, and Discord) and it automatically downloads their new posts, live streams, VODs, stories, and slideshows the moment they go up. One app replaces a dozen separate downloaders and cron jobs. Built for data hoarders, researchers, and archivists who want a complete local copy, not a cloud account. Everything runs on your machine: no upload, no telemetry, no subscription. Highlights: - Monitor creators with per-feed schedules from 30 minutes to 24 hours - Auto-record TikTok Lives at full quality (NVENC), replayed in-app with captured chat, gifts, and a stream summary - Twitch and Kick VOD, highlight, and clip archiving with saved chat replay - Auto-clip TikTok Live highlights by chat and gift activity - AI semantic search across your archive (CLIP, runs locally on your GPU, no API keys) - Perceptual-hash deduplication with adjustable presets - Cross-platform identity matching and bio-link aggregator resolution - Engagement analytics on every tier: top performers, cadence heatmaps, per-post history - Multi-drive storage, smart renaming, built-in media player, Discord webhook alerts Free tier: TikTok, X, YouTube, and Twitch with no expiry, no watermark, and unlimited Quick Download (5 feeds, 1 live monitor). Personal (£20 one-time) adds Instagram, Threads, Telegram, and Kick with 15 feeds. Power (£40 one-time) unlocks all 13 platforms with unlimited feeds, AI search, and HD TikTok downloads. One-time payment. Built by Aarox Technologies Ltd.

Description

TranscriptFetch transforms videos from platforms like YouTube, TikTok, and Instagram, as well as podcasts from services such as Spotify and Apple, into well-organized transcripts that your application, RAG pipeline, or AI agent can easily read and reference. It provides outputs in plain text format or with per-segment timestamps in JSON. Even if a video lacks a caption track, it will still be transcribed automatically, ensuring you receive a result regardless of caption availability. Additionally, YouTube integration allows for the retrieval of channels, playlists, and keyword searches, generating a list of relevant videos, while a batch endpoint enables the fetching of up to 50 transcripts in a single request for enhanced efficiency.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

No images available

Integrations

Instagram Yes 
TikTok Yes 
YouTube Yes 
Reddit Yes 
Snapchat Yes 
Telegram Yes 
X (Twitter) Yes 

Integrations

Instagram Yes 
TikTok Yes 
YouTube Yes 
Reddit No 
Snapchat No 
Telegram No 
X (Twitter) No 

Pricing Details

£20 one-time
Free Trial No 
Free Version Yes 

Pricing Details

$5/month
Free Trial No 
Free Version Yes 

Deployment

Web-Based No 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App Yes 
iPad App Yes 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Aarox Technologies Ltd

Founded

2026

Country

United Kingdom

Website

streamstash.live

Vendor Details

Company Name

TranscriptFetch

Founded

2026

Website

transcriptfetch.com

Product Features

Product Features

Transcription

AI / Machine Learning No 
Annotations No 
Audio/Video File Upload No 
Automatic Transcription No 
Collaboration Tools No 
File Sharing No 
For Manual Transcription No 
Full Text Search No 
Multi-Language Support No 
Natural Language Processing (NLP) No 
Playback Controls No 
Speech Recognition No 
Subtitles No 
Text Editor No 
Timecoding No 

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