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Best YouTube transcript API tools, compared (2026)

Written by the VidWords Team · August 6, 2026 · Updated August 19, 2026 · Report a correction

Disclosure: VidWords is one of the tools compared here, and this is our site. We have kept every competitor claim to what their own pricing pages stated on 6 August 2026, linked so you can check, and we have been explicit about where other tools beat us. Pricing changes often — verify before you commit.

The 30-second version

Most YouTube transcript APIs do the same core job: give them a video ID, get back timestamped text. They differ on four things that actually decide the bill and the failure rate — what happens when a video has no captions, batch and channel support, rate limits, and how credits are counted.

If you are extracting a handful of videos, the free tiers are genuinely enough and the choice barely matters. If you are running a pipeline over a channel's back catalogue, the credit model and batch endpoint matter more than the sticker price.

The four criteria that matter

1. Captionless fallback. Roughly the most common production surprise: a video with no caption track at all. Some APIs return empty and leave you to solve it; others transcribe the audio with speech-to-text at a higher price. Decide which you want before your job hits its first captionless video.
2. Batch and channel endpoints. One request per video is fine at ten videos and painful at ten thousand. Check whether batch is available on the tier you will actually buy, not just on the top plan.
3. Rate limits. Requests-per-minute quietly sets your throughput ceiling. A cheap plan with a low RPM can be slower than a dearer one with headroom.
4. What counts as a credit. "1 credit per request" and "1 credit per video" diverge sharply once pagination, channel listing and retries enter the picture.

The options

All figures below are as published on 19 August 2026.

VidWords API

Documented here, with a machine-readable OpenAPI 3.0 spec you can import into a client generator or point an agent at. POST /api/transcripts takes up to 50 videos per call; POST /api/channels resolves a channel. Auth is HTTP Basic with a free API token.

Free tier is 25 transcripts a month with a free account (3 with no account at all). Paid plans are Starter $10/mo, Pro $25/mo and Advanced $69/mo, each with annual pricing at ten months' cost. One credit is one transcript; a captionless video that needs fresh speech-to-text starts at 2 credits and adds 1 for every 5 minutes of audio, and is available on paid plans only.

The API returns JSON — per-segment text, start and duration, plus the full text. The TXT, SRT, VTT, CSV and JSON export files are a web app feature, not an API response format: if you need SRT out of the API, you are formatting it yourself from the segments.

Where it wins: batch of 50 videos per call on every paid tier, a published OpenAPI spec, and a speech-to-text fallback priced by duration rather than refused. Where it doesn't: the free tier is 25 transcripts a month, which is smaller than several competitors' free allowances; the cheapest paid plan is $10 rather than $5; and the API is JSON-only, exactly like the others.

Supadata

Supadata offers 100 requests a month free with no card. Paid tiers run Basic $5/mo (300 credits), Pro $17/mo (3,000), Mega $47/mo (30,000), Giga $297/mo (300,000) and Supa $897/mo (1,000,000). Single video, channel and playlist extraction each count as 1 credit. Batch endpoints are paid plans only. For videos without captions you can opt into AI generation at 1 generated transcript minute = 2 credits.

Where it wins: the widest tier ladder here by far — if you need a million credits a month, it is on the price list rather than a sales call. Worth checking: their pricing page does not state output formats.

TranscriptAPI

TranscriptAPI gives 100 free credits with no card. Paid is $5/mo for 1,000 credits monthly, or $4.50/mo billed annually ($54/year), with top-ups at $2.50 per 1,000 (monthly) or $1.50 per 1,000 (annual). Each endpoint call is 1 credit. It covers transcripts, search, channel listing and playlists, plus free RSS upload tracking. Transcripts return JSON with text, start and duration. Rate limits are stated as 200 requests/minute on monthly and 300 RPM on annual.

Where it wins: the clearest published rate limits of the group, and the cheapest per-credit rate at the entry tier. Free upload tracking is a genuinely nice extra if you are watching channels. Trade-off: JSON output only, and credits are charged per request, so paginating a large channel consumes credits per page.

youtube-transcript-api (open source)

The widely used Python library is free and runs in your own process, with no vendor and no per-request cost. That makes it the obvious starting point for a script on your laptop.

What you take on: it fetches from YouTube using your IP, so at any real volume you inherit the rate limiting and IP-blocking problem, and typically end up buying proxies — which is the cost the hosted APIs are actually absorbing. There is also no speech-to-text fallback: no captions means no output. Our developer guide covers using it directly and when to move off it.

Cost per 1,000 transcripts

Sticker price hides the thing you actually pay. Here is each plan reduced to one number — cost per 1,000 transcripts, at the plan's own included allowance, as published on 19 August 2026:

*Unlimited in the sense that nobody bills you. At volume you will be rate-limited or IP-blocked by YouTube, and the proxy bill becomes your real per-transcript cost.

Read that table honestly: on pure cost per transcript, VidWords is the most expensive of the hosted options at every tier. Our answer is that the comparison is not like-for-like — a credit buys 50-per-call batching and a duration-priced speech-to-text fallback — but if your job is "fetch captions, output JSON, as cheaply as possible", the cheaper options genuinely are cheaper and you should use them.

One caveat that cuts across every row: credits are not defined identically. Where billing is per request, paginating a large channel spends credits on listing pages before you extract a single transcript. Where it is per video, listing is cheaper but you may pay separately for the fallback. Model your own mix before trusting any per-1,000 figure, including ours.

What to test before you commit

Every one of these has a free tier, so a 30-minute evaluation beats a spreadsheet. Run the same five videos through each:

1. A video with no captions. The single most informative test. Does it error, return empty, or transcribe — and what did that cost?
2. A non-English video. Check whether you get the original language, an auto-translation, or nothing.
3. A three-hour stream. Long transcripts expose timeouts and response-size limits that short clips never will.
4. A channel with several hundred videos. Time the listing and count the credits it consumed before any transcript arrived.
5. The same video twice. Some providers bill a cached repeat at full price; some do not. At scale with retries, this matters more than it sounds.

What none of these solve

Every API on this page returns speech. If the information you need was on screen — a chart, a slide, a code editor, a UI walkthrough narrated as "as you can see here" — no transcript API will give it to you, because it was never spoken. That is a limit of the category, not of any one vendor.

Closing that gap requires frame-level video understanding, which mostly lives in enterprise video-intelligence services. It is also what AI Watch does on VidWords, though it is a product surface rather than a REST endpoint today. If your corpus is talking-head content, ignore this section entirely — a transcript API is the right tool and the cheapest one will do.

Which one to pick

• A script, a few hundred videos, no deadline: the open-source library. Do not pay for something you can run in a loop.
• Production pipeline, captions usually present, cost-sensitive: TranscriptAPI's entry tier is the cheapest per credit, provided JSON-only output suits you and you account for per-request billing on paginated jobs.
• Very high volume: Supadata's ladder goes furthest without a custom contract.
• Batch-heavy work, or a catalogue where captions are often missing: the VidWords API — 50 videos per call and a speech-to-text fallback priced by duration. Not for output formats: every API here returns JSON.

Two things people get wrong

Comparing sticker price instead of unit cost. $5/mo for 300 credits and $5/mo for 1,000 credits are not the same product. Work out cost per transcript at your volume, including whatever share of your videos will need a speech-to-text fallback.

Forgetting that captions are not guaranteed. Teams routinely build against the happy path, then discover a meaningful slice of their catalogue has no caption track. Whether your API transcribes audio, and what that costs, is a design decision, not a detail. Our explainer on auto-generated captions covers how caption availability and quality actually vary.

Getting started

If you want to test the VidWords side of this, an API token is free and the OpenAPI spec means you can generate a client rather than hand-rolling requests. For bulk work through the UI instead of the API, see extracting whole channels and playlists. To evaluate output quality before writing any code, extract a transcript here — no account needed for the first few.