Award Force
Submittable
OpenWater
SurveyMonkey Apply
Evalato
WizeHive Zengine
ICARIS
Flexi-Grant
TranscriptFetch
SocialFetch.dev
TranscriptAPI.com
Purpose-built to be fast, secure, reliable and beautiful, Award Force is perfect for anyone who wants to create an unparalleled experience for entrants, judges and program managers.
We support our clients with a global support team whose sole purpose is to give peace of mind and help clients focus on making their awards the best they can be.
Award Force is used for: awards management; staff excellence / employee recognition; grant application management; accelerator program intake; incubator program intake; venture or seed capital funding application management; contest management; fellowship application management; higher education entrance; scholarship applications; journal article / paper abstract submission management; student portfolio assessment.
Good decisions: Good evaluation leads to good decisions and good outcomes. Entry/application evaluators will love how fast and smooth it is to evaluate applications with Award Force.
Save time, save money: Free up your time to focus on making your program the best it can be thanks to reduced admin and support effort.
Grow your program: Increase the volume and quality of your entries/applications, and earn more revenue with features designed for outstanding results.
Judges are happy: Attract and retain high-calibre judges that love how fast and smooth it is to judge with Award Force.
Peace-of-mind: Boost confidence and discard stress, you'll be in good company using our reliable and secure system that performs under pressure.
Visibility + control: Deliver the right outcomes time-after-time with flexible configuration options and management tools at your fingertips.
You look good: Distinguish your awards with a friendly, intuitive system in a beautiful design that's a joy to use.
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.
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.
text field for feeding a model or a search indexsegments array with per-cue start times and durations, so subtitles and jump-to-moment links are a formatting step rather than another integration100 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.
Award Force TranscriptFetchAward Force is particularly recommended for organizations running creative competitions, grant applications, or any event requiring effective management of entries and judging processes. It's suitable for non-profits, educational institutions, corporate award programs, and any organization that requires detailed reporting and powerful workflow management.
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TranscriptFetch's answer:
Most short-form video has no caption track to download. TikTokโs 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.
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.
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.
TranscriptFetch's answer:
It started with discovering there is no good way to get the text of a video. YouTubeโs official Data API will confirm a caption track exists and then refuse to hand it over, because captions.download requires the video ownerโs 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.
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.
Submittable - Submittable is an easy-to-use online submission manager.
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.
OpenWater - OpenWater is an awards management software platform that automates, manages, and grows awards programs big and small.
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.
SurveyMonkey Apply - SurveyMonkey Apply enables organizations to streamline the process of collecting and reviewing applications.
Evalato - Application & evaluation software for awards, grants & more