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Bayanat Labs Arabic Data Cost and Pilot Estimator

Turn your assumptions about an Arabic annotation or transcription project into line-item hours, an illustrative cost range, a week-by-week timeline and a pilot statement of work with an acceptance checklist. Line items, costs, phases, weeks and pilot totals show their formulas, and the range and the acceptance plan state their methods. Every output is an illustrative estimate from your assumptions, not a quote; every rate is yours to enter, and no Bayanat Labs price appears. 40 planning scenarios and 27 invalid inputs test the JavaScript engine and the Python port against a separately written calculation. The app runs in your browser, loads nothing from other hosts, uses no cookies, browser storage or analytics, and never puts your inputs in the URL.

By Bayanat Labs· Updated · Apache-2.0· اقرأ بالعربية
LicenceApache-2.0 (code and app); CC BY 4.0 (fixtures, examples and page text); SIL OFL (fonts)
Versionv0.1.0 · Code, fixtures and app v0.1.0, tagged on GitHub; the Python port installs from GitHub and is not on PyPI.
Published
Updated
Who it is forTeams planning an Arabic annotation or transcription project who want line-item hours, a range, a timeline and a pilot scope from their own assumptions, with every formula shown.
LevelBeginner

Arabic annotation cost data annotation estimate transcription estimate pilot statement of work acceptance sampling

Key numbers

40planning scenarios in the fixtures, text and speech in USD, SAR and AED; invented inputs, not prices
27invalid inputs that must be refused
10000chat messages in the worked example, from a published article
170.2hours, the worked example's baseline
40.8per cent of those hours are primary annotation
157.3hours, the illustrative low end of the range on those hours (tenth percentile)
182.9hours, the illustrative high end of that range (ninetieth percentile)
15per hour, the article's lower hypothetical rate; not a price
2552.91illustrative cost at that hypothetical rate
40per hour, the article's higher hypothetical rate; not a price
6807.78illustrative cost at that hypothetical rate
264.3hours with a second pass on all items
248.3hours with sixty intents, forty seconds per item, a quarter of items in disagreement and longer guidelines

Counted by script from the released files. Each key number is read or computed from fixtures released at tag v0.1.0, commit 0db3d41836b85707bc8410a3491b8282e6876583, and pinned to its SHA-256; hours, costs and shares are rounded half up as the README writes them. fixtures/SHA256SUMS lists a checksum for every fixture. Space revision b9c86b28469fdd737ad4d21a789a2152b8f508a6.

Downloads and identifiers

Get started

The app needs no install. Install the Python port from GitHub at the v0.1.0 tag; the package is not on PyPI. Run the command from a clone of the repository, which holds the example.

pip install "bayanatlabs-estimator @ git+https://github.com/Bayanat-Labs/arabic-data-cost-estimator@v0.1.0"
bl-estimate examples/chat_messages.json --format md --lang en

What is released

PartLicenceIn this release
Browser app on Hugging Face Spaces, interface in English and Arabic: plain JavaScript with no build stepApache-2.0Yes
Python port and command-line tool (bl-estimate), with no dependenciesApache-2.0Yes
Separately written calculation, schemas, tests and method documentApache-2.0Yes
Fixtures and examples: planning scenarios and rejected inputs, invented, with no personal dataCC BY 4.0Yes
Text of this record and of the app's pageCC BY 4.0Yes
IBM Plex Sans Arabic font in the app (SIL Open Font License 1.1)SIL Open Font License, copyright IBM Corp.Yes

Attribution: Arabic Data Cost and Pilot Estimator by Bayanat Labs. https://github.com/Bayanat-Labs/arabic-data-cost-estimator

Intended uses

  • Plan the hours, range and timeline of an Arabic annotation or transcription project from your own assumptions.
  • Draft a pilot statement of work with an acceptance plan and checklist, every assumption listed.
  • Run the same estimate in scripts with the Python port, which writes JSON, CSV or Markdown.

Out of scope

  • Reading an output as a quote, a price or a Bayanat Labs commitment: every output is an illustrative estimate from your assumptions.
  • Treating the range or the acceptance plan as a statistical guarantee: both are planning approximations.

Rights at a glance

Training, display, redistribution and synthetic-voice use are separate permissions.

UseStatusNote
TrainingNot applicableA planning tool and invented fixtures, not training data. The fixtures are CC BY 4.0 if you reuse them.
DisplayAllowedFixtures, examples and page text under CC BY 4.0, with attribution.
RedistributionAllowedCode under Apache-2.0; fixtures, examples and page text under CC BY 4.0; the bundled font under the SIL Open Font License. The Bayanat Labs name and logo are not licensed under any of these.
Synthetic voiceNot applicableNo audio.

Limitations

  • Illustrative estimate from your assumptions, not a quote. Every output is an illustrative estimate from your assumptions. Replace the defaults with what you know of your own project.
  • Every rate is entered by you. The tool ships no price list, band or vendor figure, and no Bayanat Labs price appears in it. The placeholder rate in the app is the article's hypothetical rate, labelled as illustrative; it is not a Bayanat Labs rate or a market benchmark. The rates in the fixtures are placeholders chosen to exercise the arithmetic.
  • QA seconds in the speech presets are illustrative placeholders: adjudication, senior QA and rework are each set to one listen-through of the audio.
  • Audit hours are blank for jobs billed in audio or per thousand words. They are computed only when the billing unit is itself the unit sampled, an item or an utterance; the audit hours are shown beside the plan and not added to the total.
  • The range is a seeded Monte Carlo with triangular ranges, and the same seed gives the same range. It is illustrative, not a statistical guarantee.
  • The acceptance plan uses an exact binomial sample for accuracy or error rate and normal approximations for kappa, WER and CER. These are planning approximations.
  • In the worked example, three inputs are inferred from the article's figure rather than stated, and the longer guidelines are read as doubled, because the article says only "longer". The method document lists them.
  • The Arabic interface and Arabic exports have not yet been reviewed by a native Arabic writer; the English governs.

Sources and licences

SourceLicenceRedistributed here
Arabic Data Annotation Cost, Bayanat Labs article, read on 4 November 2026The worked example reproduces its illustrative budget and hypothetical rates; not includedNo

The defaults repeat the assumptions of the worked example, so the page opens on a result you can check against the article; they are starting points to replace. The speech effort presets are the careful and quick figures for conversational telephone speech in Cieri et al., as cited in the article. Source details

How to cite

Cite as:

Bayanat Labs (2026). Arabic Data Cost and Pilot Estimator, version 0.1.0. Bayanat Labs. https://github.com/Bayanat-Labs/arabic-data-cost-estimator

No DOI. Cite the URL in the citation above and the date you read it.

@misc{bayanatlabs2026arabicdatacostestimator,
  author       = {{Bayanat Labs}},
  title        = {Arabic Data Cost and Pilot Estimator, version 0.1.0},
  year         = {2026},
  month        = nov,
  howpublished = {\url{https://github.com/Bayanat-Labs/arabic-data-cost-estimator}}
}

How we handle citations

Changelog

DateVersionChange
v0.1.0Browser app in English and Arabic on Hugging Face Spaces; Python port, command-line tool, fixtures and method on GitHub.

Corrections and removal requests

If something in this release should not be there, or is wrong, email hello@bayanatlabs.com. We handle removal requests within 30 days, and platform requests within 24 hours. How removal requests work

Related product: Bayanat Knowledge

Need production-grade, rights-cleared Arabic data? Start with Bayanat Labs

We publish synthetic fixtures, open benchmarks, results, code and guides for free. Data at scale is licensed or built to order from Bayanat Labs: ready-to-license Arabic speech and text datasets, including thirty thousand hours of Arabic speech data, with commercial AI-use rights written into the agreement, and custom collection, annotation and evaluation by a team of more than fifty thousand expert annotators, including vetted native speakers, linguists and licensed domain professionals. Work starts with a fixed-scope pilot with gold-standard QA and a quality report, usually within two weeks.

Bayanat Knowledge: License books, subject-organized MSA text, and structured question-answer data. Each collection has a clear training task, with its own counts and licensing details.

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