Upload any Arabic recording and get accurate text in Arabic script. Vocova handles Modern Standard Arabic and regional dialects, producing properly connected right-to-left text with correct initial, medial, and final letter forms.
Drop your file here or click to browse
.mp3, .wav, .m4a, .aac, .ogg, .flac, .mp4, .mov, .avi, .mkv, .webm·up to 500MB
Arabic is not one language but a continuum. A news anchor reads MSA while an Egyptian podcast host says مش عارف, a Levantine speaker says ما بعرف, and a Gulf speaker says ما أدري — all meaning "I don't know." The gap between MSA and spoken dialects rivals Latin versus Italian. On top of this, Arabic script is fully cursive with each letter taking up to four forms (isolated, initial, medial, final), short vowels are almost never written, and hamza placement follows some of the most complex orthographic rules in any script. Vocova's AI navigates all of this, producing clean Arabic text regardless of whether your recording is a formal khutbah or a casual Cairo conversation.
Drag and drop or select any audio or video file containing Arabic speech. All common formats are supported with no conversion required.
The AI processes your audio and outputs properly connected Arabic text with correct letter forms, natural punctuation, and speaker labels — handling both MSA broadcasts and dialectal speech.
Review the Arabic transcript, edit inline if needed, and export. Right-to-left formatting is preserved across all export formats.
Arabic letters change shape based on position — ع appears as عـ initially, ـعـ medially, ـع finally, and ع in isolation. The AI produces properly connected text where every letter takes its correct contextual form, displaying flawlessly in any text editor or export format.
The distance between MSA and spoken Arabic is enormous. Egyptian هو رايح (huwwa rāyiḥ), Levantine هو عم يروح (huwwe ʿam yrūḥ), and Gulf هو يروح (hu yrūḥ) all express "he is going." The AI recognizes these dialect-specific forms and transcribes what was actually said rather than normalizing everything to MSA.
Multiple speakers are detected and labeled throughout the transcript, making panel discussions, interviews, and multi-speaker lectures easy to follow even when participants switch between dialects.
Arabic text flows right-to-left, but numbers, English words, and technical terms run left-to-right within the same line. The AI produces correctly ordered bidirectional text so that mixed-direction content reads naturally in every export format.
Arab speakers frequently switch between MSA and dialect mid-sentence, especially in lectures and news commentary. The AI follows these register shifts without losing accuracy, transcribing each segment in the register actually spoken.
Create searchable transcripts of Arabic news broadcasts, documentaries, and talk shows. Capture MSA news anchors and dialectal guest commentary in a single accurate transcript.
Record meetings and conference calls conducted in Arabic and get written records with speaker labels. Works across the Gulf business Arabic common in finance and the Levantine Arabic typical of Beirut-based teams.
Export transcripts as SRT or VTT files with accurate timestamps, ready to add as subtitles. Right-to-left text direction is preserved for correct display on video platforms.
Convert recorded khutbahs, Islamic lectures, and academic seminars into searchable text. Handles the MSA-heavy register of religious discourse alongside audience Q&A in colloquial Arabic.
Transcribe dialectal interviews, sociolinguistic field recordings, and oral histories into text for corpus building, qualitative analysis, and linguistic documentation across Arabic varieties.
Transcribe Arabic news, press conferences, and interviews across Al Jazeera, Al Arabiya, and regional broadcasters for analysis, reporting, and media intelligence across the Arab world.
Capture Arabic-language meetings, negotiations, and presentations. Get written records that work whether your counterparts speak Gulf Arabic in Dubai or Egyptian Arabic in Cairo.
Transcribe Arabic audio to study script, morphology, and dialectal variation with accurate written text. See how connected letter forms and spoken dialect map to written output.
Get accurate Arabic transcripts as the starting point for translation. Eliminate hours of manual listening before translating to English, French, or other target languages.
Transcribe Arabic-language proceedings, community consultations, and field interviews into written documentation for institutional records and cross-border reporting.
The AI transcribes what it hears. If the speaker uses MSA, you get MSA text. If the speaker uses Egyptian or Gulf dialect, the transcript reflects the dialect actually spoken — including colloquial forms like مش (mish) or شلونك (shlōnak) that have no MSA equivalent. It does not normalize dialectal speech into artificial MSA.
The AI produces standard unvocalized Arabic text, which is how virtually all modern Arabic is written. The word كتب appears as كتب, not كَتَبَ. This matches newspaper, business, and digital Arabic conventions. Full tashkeel output is not currently supported.
Arab speakers routinely shift between MSA and dialect within a single sentence — a university lecturer might state a definition in MSA then explain it in Egyptian Arabic. The AI tracks these register shifts and transcribes each portion in the variety actually spoken rather than forcing everything into one register.
Yes. Arabic text runs right-to-left while numbers and Latin-script words run left-to-right within the same line. The AI produces correctly ordered bidirectional text, so a sentence like "تم إنجاز 85% من المشروع" displays the percentage in the correct reading position across all export formats.
The AI uses Western Arabic numerals (0, 1, 2, 3), which are standard in most modern Arabic digital text and media. Arabic-Indic numerals (٠, ١, ٢, ٣) used in some Gulf and formal contexts are not currently output.
Maghrebi dialects are supported, though accuracy is highest for Egyptian and Gulf Arabic due to greater representation in training data. Moroccan Darija and Tunisian Arabic with heavy French code-switching may see reduced accuracy compared to Eastern Arabic dialects.
Arabic hamza (ء) has complex placement rules — it can sit on alif (أ/إ), waw (ؤ), ya (ئ), or standalone depending on surrounding vowels. The AI follows standard orthographic conventions for hamza placement, producing correctly spelled words like مسؤول and بيئة.
Transcribe Hindi audio and video with AI
Transcribe Turkish audio and video with AI
Upload any audio file and get accurate text instantly
Upload audio in any language and translate it to 140+ languages
Upload audio or video and get ready-to-use subtitle files
Extract accurate text from any video file with AI
Upload a file or paste a link from YouTube, podcasts, cloud storage, and 1,000+ platforms. Get an accurate transcript in minutes. No credit card required.