ZOOM Ultra Compact Recorder with Zoom Pin Microphone, F2/B, 32 Bit Float Compatible, No Settings Required, Professional Sound Quality for YouTube Vlog Recording, Black [Genuine Domestic Product]
✅ [Features ➀] The F2/B (F2B) has an ultra-compact, ultra-lightweight design and is compatible with 32-bit recording, and wearable recording is possible as a set with a lavalier microphone.
✅ [Features ②] A lavalier (small microphone attached to the collar/chest) microphone “LMF-2” etc. are included as standard, making it suitable for “attaching to a costume and recording” for interviews, conversations, and video shooting.
✅ [Features ③] In addition to the input, it is equipped with a 3.5mm output (headphone/line output) and a USB-C connection, etc., making it convenient to record and transfer files in conjunction with the camera.
✅ [Recommended scene] ・People who want to attach a lavalier microphone to the subject when shooting videos (interviews, vlogs, documentaries) or wear lightweight equipment. ・Applications where “I want to avoid clipping as much as possible” at sites where the volume range changes drastically (example: lecture+cheer/event). ・People looking for an “easy set/lightweight/safe recording” as secondary recording equipment such as installing multiple units and recording with rosaries.
✅ [Warranty] In addition to a 3-year warranty for genuine domestic products and manufacturers, we have established a secure customer support desk.
ZOOM F2/B is an ultra-lightweight wearable field recorder weighing just 32 grams. It is compatible with 32-bit float recording, and since it is equipped with a dual AD converter circuit, it is possible to record high-quality sound without worrying about gain adjustments. The attached lavalier microphone (LMF-2) with screw lock can be easily attached to the chest of clothing, making it ideal for location recording of interviews, vlogs, movies, dramas, news productions, etc. Recording in 32-bit float WAV format is possible at 44.1 kHz or 48 kHz sampling rates, and accurate synchronization with images is achieved with a high-precision time code function.