WholesaleBackup VS TranscriptFetch

WholesaleBackup is a white-label backup software platform built for MSPs, IT service providers, and backup resellers. It gives you a complete backup management system you can deliver under your own brand — either self-hosted on your Windows Server infrastructure or connected to cloud storage backends.

What it backs up: Files and folders, disk images (up to 2TB), Microsoft Exchange, SQL Server, virtual machines, open files, and network shares. Windows and macOS clients available; Linux on roadmap.

Storage backends: Self-hosted Windows Server, Amazon S3, Google Cloud Storage, Wasabi, Backblaze B2, or Synology C2 — configurable per brand.

Management: All client endpoints are managed from the Backup Ops Web Console — a centralized dashboard with live connection status, color-coded job health, remote log access, remote config sync, and automated reporting. MFA, role-based access, and sub-user accounts included.

Restore: Granular file recovery, bare metal restore via bootable USB, AWS S3 → EC2 restore, and multi-version recovery with date filtering.

Compliance: HIPAA, GLBA, and PCI DSS compliant architecture. End-to-end encryption in transit and at rest.

RMM integration: Silent push installs and remote configuration management compatible with major RMM platforms.

Pricing: Starts at $150/month including 50 client connections. Additional seats at $3/seat. Storage costs go directly to your chosen cloud provider — WholesaleBackup charges nothing for storage or egress. No per-restore fees. Month-to-month, no minimums.

USA-based support included. In operation for over 20 years.

TranscriptFetch is one API for getting text out of video and web content.

Send a URL from YouTube, TikTok, Instagram, X or Facebook and get back clean, timestamped text. Send any web page and get clean Markdown. One endpoint, one response shape, one API key.

The part that actually matters

Most short-form video has no caption track to download. TikTok's auto-captions are opt-in per upload, Instagram never publishes a downloadable track, and a large share of captions on both platforms are burned into the video frames where no parser can read them.

When there is no caption track, TranscriptFetch transcribes the audio instead. Same endpoint, same response, so your code never branches on which method produced the text.

What you get back

A joined text field for feeding a model or a search index
A segments array with per-cue start times and durations, so subtitles and jump-to-moment links are a formatting step rather than another integration
Consistent output whether the text came from captions or speech recognition

Built for pipelines and agents

MCP server so Claude, Cursor and other MCP clients can fetch transcripts as a tool mid-conversation
Python and JavaScript SDKs
Batch endpoint for up to 50 videos in a single call
Channel, playlist and keyword-search endpoints for ingesting at scale

Pricing

100 free credits on signup, no card required. One credit per successful response. Failed, blocked and empty results are never charged, which matters on short-form video where a meaningful share of any batch is music with no speech in it.

Questions & Answers

As answered by people managing WholesaleBackup and TranscriptFetch.

What makes your product unique?

TranscriptFetch's answer:

Most short-form video has no caption track to download. TikTok’s auto-captions are opt-in per upload, Instagram never publishes a downloadable track, and many captions on both are burned into the video frames where no parser can read them. TranscriptFetch transcribes the audio when no caption track exists, on the same endpoint, with the same response shape. Your code never branches on which method produced the text. It also covers YouTube, TikTok, Instagram, X and Facebook plus any web page as clean Markdown, so a pipeline spanning several sources is one integration rather than five.

Why should a person choose your product over its competitors?

TranscriptFetch's answer:

Three reasons. Coverage: one API key and one response shape across five video platforms and the open web, instead of stitching together a library per platform. Reliability: requests run through rotating infrastructure, so code that works locally keeps working from a server, which is where most open-source approaches break. Billing that matches reality: one credit per successful response, with failed, blocked and empty results never charged. That last point matters on short-form video, where a meaningful share of any batch is music with no speech in it. There is also an MCP server, so AI agents can fetch transcripts as a tool without a custom integration.

How would you describe the primary audience of your product?

TranscriptFetch's answer:

Developers and technical teams building on video and web content. The common cases are RAG and retrieval pipelines that need video as text, AI agents that need to read a link mid-conversation, content teams repurposing short-form video at scale, and media monitoring and research tools. It is an API first, so the buyer is usually the person writing the integration rather than an end user. The free browser tools exist for one-off transcripts and for evaluating output quality before writing any code.

What's the story behind your product?

TranscriptFetch's answer:

It started with discovering there is no good way to get the text of a video. YouTube’s official Data API will confirm a caption track exists and then refuse to hand it over, because captions.download requires the video owner’s OAuth token. The popular open-source libraries work until you deploy them, at which point platforms start refusing datacenter IPs. And YouTube is the easy case: TikTok and Instagram publish no caption file at all. Every workaround solved one platform, worked locally, and broke in production. TranscriptFetch is the version that handles the failure cases as first-class behaviour rather than edge cases.

Which are the primary technologies used for building your product?

TranscriptFetch's answer:

Next.js with TypeScript and Tailwind on the front end and API layer, Clerk for auth with SHA-256 hashed API keys, Neon Postgres with Drizzle ORM, Redis for caching, and Stripe for billing. The extraction layer is a Python and FastAPI service. Speech-to-text uses Whisper-class models. The MCP server is published in the official Model Context Protocol registry with a DNS-verified namespace.

What are some alternatives?

When comparing WholesaleBackup and TranscriptFetch, you can also consider the following products

Online Vault Backup - Online Vault Backup is a cloud storage service that allows you backup your data while having unlimited storage.

SocialFetch.dev - Social media scraping API for public profiles, posts, comments, videos, transcripts, and metrics from TikTok, Instagram, YouTube, X, LinkedIn, and more. Pay-as-you-go credits, 100 free to start.

Rebel Backup - Rebel Backup lets you make encrypted backups of your important files to Dropbox or Google Drive.

TranscriptAPI.com - Get YouTube video transcripts with a simple API call or through Model Context Protocol. Fast, reliable, and easy to integrate into your applications.

Genie Backup Manager - Genie Backup Manager is a backup solution for Small and Medium Businesses who are seeking full system backup to virtually any storage device.

Data Deposit Box - Backup all of your PCs, Macs and Mobile devices into ONE account.

Compare WholesaleBackup VS TranscriptFetch and see what are their differences